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class="no-underline flex items-center"><img alt="CS50's Introduction to Computer Science" title="CS50's Introduction to Computer Science" loading="lazy" width="36" height="36" decoding="async" data-nimg="1" class="object-cover overflow-clip my-0 mr-2 w-9 h-9" style="color:transparent" srcSet="/_next/image?url=https%3A%2F%2Fprod-discovery.edx-cdn.org%2Fcdn-cgi%2Fimage%2Fwidth%3Dauto%2Cheight%3Dauto%2Cquality%3D75%2Cformat%3Dwebp%2Fmedia%2Fcourse%2Fimage%2Fda1b2400-322b-459b-97b0-0c557f05d017-a3d1899c3344.small.png&w=48&q=75 1x, /_next/image?url=https%3A%2F%2Fprod-discovery.edx-cdn.org%2Fcdn-cgi%2Fimage%2Fwidth%3Dauto%2Cheight%3Dauto%2Cquality%3D75%2Cformat%3Dwebp%2Fmedia%2Fcourse%2Fimage%2Fda1b2400-322b-459b-97b0-0c557f05d017-a3d1899c3344.small.png&w=96&q=75 2x" src="/_next/image?url=https%3A%2F%2Fprod-discovery.edx-cdn.org%2Fcdn-cgi%2Fimage%2Fwidth%3Dauto%2Cheight%3Dauto%2Cquality%3D75%2Cformat%3Dwebp%2Fmedia%2Fcourse%2Fimage%2Fda1b2400-322b-459b-97b0-0c557f05d017-a3d1899c3344.small.png&w=96&q=75"/><div class="font-normal"><span class="text-sm lg:text-base block">CS50's Introduction to Computer Science</span><span class="text-xs lg:text-sm block">HarvardX | Course</span></div></a></li><li class="m-0 px-3 py-2 ProductSearch_searchListItem__5Bj11"><a href="/executive-education/massachusetts-institute-of-technology-artificial-intelligence-implications-for-business-strategy" class="no-underline flex items-center"><img alt="Artificial Intelligence: Implications for Business Strategy" title="Artificial Intelligence: Implications for Business Strategy" loading="lazy" width="36" height="36" decoding="async" data-nimg="1" class="object-cover overflow-clip my-0 mr-2 w-9 h-9" style="color:transparent" 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class="inline-flex items-center gap-1.5 Breadcrumbs_breadcrumbs__0fm1_ text-primary-foreground capitalize" aria-current="page"><span class="">adabas</span></li></ol></nav><h1 class="text-learn-hero-heading lg:text-learn-hero-heading-large lg:leading-learn-hero-line-height-large mb-6 font-extrabold tracking-tight">Learn Adabas with online courses and programs</h1><div class="break-words [&>ul>li>p]:text-white [&>*]:text-white text-xl line-clamp-2"><p class="mb-8">Adabas is a legacy database management system that’s been powering mission-critical applications for large organizations for decades. Learn Adabas with online courses delivered by edX.</p></div></div></div><div class="fullwidth bg-secondary text-primary-foreground p-8 sticky top-0 z-50"><div class="container"><div class="lg:flex hidden text-sm items-center "><a aria-label="Create an account" href="https://authn.edx.org/register" target="_self" class="inline-flex items-center justify-center whitespace-nowrap text-sm text-center font-medium transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:pointer-events-none disabled:opacity-50 @apply border-[1px] rounded-full h-auto px-4 py-2 not-prose undefined"><span class="inline-flex gap-2 items-center justify-center break-words whitespace-normal">Create an account</span></a></div><div class="lg:hidden p-4 w-full"><button type="button" role="combobox" aria-controls="radix-:R2ijjttrkva:" aria-expanded="false" aria-autocomplete="none" dir="ltr" data-state="closed" class="flex h-9 w-full items-center justify-between whitespace-nowrap rounded border border-input bg-transparent px-3 py-2 text-sm shadow-sm ring-offset-background placeholder:text-putty-dark focus:outline-none focus:ring-1 focus:ring-ring disabled:cursor-not-allowed disabled:opacity-50 [&>span]:line-clamp-1 no-underline text-white hover:text-white"><span style="pointer-events:none"></span><svg width="15" height="15" viewBox="0 0 15 15" fill="none" xmlns="http://www.w3.org/2000/svg" class="h-4 w-4 opacity-50" aria-hidden="true"><path d="M4.93179 5.43179C4.75605 5.60753 4.75605 5.89245 4.93179 6.06819C5.10753 6.24392 5.39245 6.24392 5.56819 6.06819L7.49999 4.13638L9.43179 6.06819C9.60753 6.24392 9.89245 6.24392 10.0682 6.06819C10.2439 5.89245 10.2439 5.60753 10.0682 5.43179L7.81819 3.18179C7.73379 3.0974 7.61933 3.04999 7.49999 3.04999C7.38064 3.04999 7.26618 3.0974 7.18179 3.18179L4.93179 5.43179ZM10.0682 9.56819C10.2439 9.39245 10.2439 9.10753 10.0682 8.93179C9.89245 8.75606 9.60753 8.75606 9.43179 8.93179L7.49999 10.8636L5.56819 8.93179C5.39245 8.75606 5.10753 8.75606 4.93179 8.93179C4.75605 9.10753 4.75605 9.39245 4.93179 9.56819L7.18179 11.8182C7.35753 11.9939 7.64245 11.9939 7.81819 11.8182L10.0682 9.56819Z" fill="currentColor" fill-rule="evenodd" clip-rule="evenodd"></path></svg></button><select aria-hidden="true" tabindex="-1" style="position:absolute;border:0;width:1px;height:1px;padding:0;margin:-1px;overflow:hidden;clip:rect(0, 0, 0, 0);white-space:nowrap;word-wrap:normal"></select></div></div></div><div class="flex flex-wrap py-12"><div><img loading="lazy" decoding="async" class="hidden lg:block float-right ml-4 mb-4" src="https://images.ctfassets.net/ii9ehdcj88bc/yp9PKavueVWR4zTvQ04ru/33500d23c0e3de1bb6cfaf487f55a406/ADABAS.jpg" alt="Adabas | Introduction Image Description" width="435" height="245"/><h2><b>What is Adabas?</b></h2><p>Adabas (adaptable database system) is a database management system that helps users handle large volumes of almost any type of data. Some of Adabas’ benefits include:</p><p></p><ul><li><p><b>High availability:</b> It has been designed to operate continuously for extended periods of time, which can make it an excellent choice for running mission-critical applications.</p></li><li><p><b>Storage space optimization</b>: It optimizes storage space and ensures efficient system performance by storing data in a compressed form.</p></li><li><p><b>Fault tolerance: </b>It can quickly recover after a system malfunction. It also features backup components that automatically replace failed ones to avoid system disruptions. </p></li></ul><p></p><p>Adabas also allows users to choose the data model that best suits their needs. Because it supports relational, entity, hierarchical, geographical, and text data models, Adabas combines elements from both relational and non-relational databases. Like relational databases, Adabas can store data in tables and link files by a common field. And, like non-relational databases, Adabas can also store multiple data relationships in the same table. This approach allows for greater flexibility and makes it easier to manage and retrieve data.<sup><a href="#7vZwY4jRUThBYlepKWT6FR">1</a></sup></p></div></div><div class="fullwidth bg-putty-100"><div class="relative overflow-hidden py-3 bg-putty-light "><div class="container flex flex-col items-center justify-center text-center px-4 md:px-28 py-10 bg-putty-light"><h2 class="text-secondary font-extrabold scroll-m-20 tracking-tight text-3xl lg:text-5xl italic text-4xl lg:text-7xl font-black font-inter">Maximize Your Potential</h2><p class="md:px-24 py-3 text-base text-center ">Sign up for special offers, career resources, and recommendations that will help you grow, prepare, and advance in your career.</p><div class="flex gap-4 undefined"></div></div></div><a class="subnav-item -mt-1" name="Browse courses in Adabas" id="browse-courses-in-adabas"></a><div class="container py-3"><div dir="ltr" data-orientation="horizontal"><div data-state="active" data-orientation="horizontal" 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data-radix-collection-item="">Bachelor's Programs (19)</button></div></div><div class="lg:hidden"><button type="button" role="combobox" aria-controls="radix-:Rssjjttrkva:" aria-expanded="false" aria-autocomplete="none" dir="ltr" data-state="closed" class="h-9 w-full justify-between whitespace-nowrap rounded bg-transparent px-3 py-2 text-sm ring-offset-background placeholder:text-putty-dark focus:outline-none focus:ring-1 focus:ring-ring disabled:cursor-not-allowed disabled:opacity-50 [&>span]:line-clamp-1 flex items-center border-solid border-[1px] border-primary shadow-none text-primary no-underline"><svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg" role="img" focusable="false" aria-hidden="true"><path d="M3 17v2h6v-2H3ZM3 5v2h10V5H3Zm10 16v-2h8v-2h-8v-2h-2v6h2ZM7 9v2H3v2h4v2h2V9H7Zm14 4v-2H11v2h10Zm-6-4h2V7h4V5h-4V3h-2v6Z" fill="currentColor"></path></svg><span style="pointer-events:none"></span><svg width="15" height="15" viewBox="0 0 15 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style="position:absolute;border:0;width:1px;height:1px;padding:0;margin:-1px;overflow:hidden;clip:rect(0, 0, 0, 0);white-space:nowrap;word-wrap:normal"></select></div><div data-state="active" data-orientation="horizontal" role="tabpanel" aria-labelledby="radix-:Rsjjttrkva:-trigger-Course" id="radix-:Rsjjttrkva:-content-Course" tabindex="0" class="mt-2 ring-offset-background focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 flex flex-col max-w-[1128px] mx-auto" style="animation-duration:0s"><h3 class="mb-4">Courses</h3><div class="hidden lg:block"><div class="gap-4 py-4 dynamic-grid flex-wrap undefined"></div></div><div class="lg:hidden"><div class="gap-4 py-4 flex overflow-x-scroll undefined"></div></div><div class="flex justify-center mx-auto mt-5"></div></div><div data-state="inactive" data-orientation="horizontal" role="tabpanel" aria-labelledby="radix-:Rsjjttrkva:-trigger-Masters" hidden="" id="radix-:Rsjjttrkva:-content-Masters" tabindex="0" class="mt-2 ring-offset-background focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 flex flex-col max-w-[1128px] mx-auto"></div><div data-state="inactive" data-orientation="horizontal" role="tabpanel" aria-labelledby="radix-:Rsjjttrkva:-trigger-Bachelors" hidden="" id="radix-:Rsjjttrkva:-content-Bachelors" tabindex="0" class="mt-2 ring-offset-background focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 flex flex-col max-w-[1128px] mx-auto"></div></div></div><div class="pt-0 pb-6 fullwidth bg-putty-100"><h3 class="mb-8 mt-0 text-2xl">Related Topics</h3><div class="flex gap-3 overflow-x-auto scroll-smooth not-prose"></div><div class="pt-4"></div></div><div class="flex flex-col gap-2 pb-10"><div class="Default_content__HO8we"><div id=""><h3>How does Adabas work?</h3><p>Adabas uses a programming language called Natural to create, modify, read, and protect data. Natural was developed by Software AG as a more simple and user-friendly alternative to legacy mainframe languages such as COBOL. It’s a fourth-generation programming language, which means its syntax is closer to human language than numbers-based machine language.<sup><a href="#48x0bi3C0A6tHreG4byK7B">2</a></sup></p><p></p><p>While Adabas and Natural are often viewed as legacy technologies, there are many businesses whose IT operations will depend on them for years to come. To ensure its platform remains relevant and useful for clients, Software AG has recently integrated new features that will make Adabas and Natural suitable for mobile development, DevOps, and big data environments.<sup><a href="#4h0vB0q6WCho3qeyMdxwyh">3</a></sup></p><p></p><h3>Adabas tutorial curriculum</h3><p>Beginners seeking to learn Adabas should start by gaining a basic understanding of database management systems, including those used in mainframe systems. In addition, they’ll need to have a solid grasp of the different data models that Adabas supports and how to apply them. When studying Adabas, you may learn about:<sup><a href="#35eYsQePJYrRrHexauyG9W">4</a></sup></p><p></p><ul><li><p>Adabas structure and architecture</p></li><li><p>Data storage and compression</p></li><li><p>Adabas associators</p></li><li><p>Adabas datasets</p></li><li><p>Natural language</p></li></ul><p></p><p>edX offers a wide variety of learning options for people with diverse backgrounds and career aspirations. Build your web development skills in a <span data-boot-camp-link="https://www.edx.org/boot-camps/coding">coding boot camp</span>. Or pursue a more comprehensive education with a full program that allows you to earn a <a class="text-link underline" href="http://edx.org/bachelors/computer-data-sciences">bachelor’s degree in computer science</a>. Explore all of the learning opportunities made available through edX. </p></div></div><a class="subnav-item -mt-1" name="Explore jobs that use Adabas" id="explore-jobs-that-use-adabas"></a><div class="Default_content__HO8we"><div id=""><h2>Explore jobs that use Adabas</h2><p>Jobs that require knowledge of Adabas and Natural may be found in IT, specifically in positions that work with mainframe computer systems and large-scale databases. A solid foundation in IT and knowledge of Adabas can help learners pursue the following positions:</p><p></p><ul><li><p>Adabas engineer</p></li><li><p>Mainframe engineer</p></li><li><p>Adabas Natural developer</p></li><li><p>Adabas database administrator</p></li><li><p>IT application analyst</p></li></ul><p>It is important to remember that the requirements for each of these roles can vary by both position and by employer. For example, some employers may require that candidates hold a <a class="text-link underline" href="http://edx.org/bachelors/">bachelor’s degree</a> or, if they are pursuing a leadership role, a <a class="text-link underline" href="https://www.edx.org/masters">master’s degree</a> in a specific field. Others may require proof of skills that can be learned in a specialized <span data-boot-camp-link="http://edx.org/boot-camps/">boot camp</span>. Research potential positions you are interested in as you decide which courses best align with your professional aspirations. </p><p></p><h3><b>How to use Adabas as a software engineer</b></h3><p>To use Adabas as an engineer, you’ll need a basic understanding of the Adabas Natural programming language and familiarity with data modeling concepts. Settings where IT professionals can work with Adabas include:</p><p></p><ul><li><p><b>As Adabas managers, administrators, or engineers: </b>They’ll use it to store, manage, and retrieve data, in addition to generating reports and performing data analysis. Depending on the organization and their role, individuals may have to install, configure, and maintain Adabas databases.</p></li><li><p><b>As part of a data migration or replatforming process: </b>Engineers performing migrations to other mainframe systems or the cloud will usually have to extract, cleanse, and normalize data from Adabas before loading it into the new system.</p></li></ul><p></p><p>Whether you need to use Adabas as part of your day-to-day work or for a specific project like a migration, online courses can help build your knowledge of the system. Start your learning journey today with edX.</p></div></div></div><div class="fullwidth max-w-none py-12 md:py-16 not-prose bg-primary-gradient"><div class="container"><h2 class="text-4xl md:text-6xl my-5 text-white italic"><span class="text-primary-foreground">More opportunities</span> for you to learn</h2><p class="text-lg leading-9 text-white">We've added 500+ learning opportunities to create one of the world's most comprehensive free-to-degree online learning platforms.</p><ul class="block md:grid md:grid-cols-2 md:gap-x-[100px] mx-auto lg:grid-cols-3"></ul></div></div><a class="subnav-item -mt-1" name="Adabas FAQ " id="adabas-f-a-q"></a><a class="subnav-item" id="frequently-asked-questions"></a><div class="flex flex-col py-4 lg:pt-16"><h2 class="mt-2 mb-4 text-3xl font-bold">Frequently Asked Questions</h2><div class="flex flex-col gap-3 [&_button]:no-underline [&_button]:text-gray-dark [&_button:hover]:text-gray-dark" data-orientation="vertical"><div data-state="closed" data-orientation="vertical" class="border-b AccordionTextItem_item__adF2E AccordionTextItem_item__adF2E"><h3 data-orientation="vertical" data-state="closed" class="flex"><button type="button" aria-controls="radix-:Rja4jjttrkva:" aria-expanded="false" data-state="closed" data-orientation="vertical" id="radix-:R3a4jjttrkva:" class="flex flex-1 gap-10 text-left items-center justify-between py-4 text-sm font-medium transition-all hover:underline [&[data-state=open]>svg]:rotate-180 AccordionTextItem_trigger__CiZ_J AccordionTextItem_trigger__CiZ_J" data-radix-collection-item=""><span>What kind of database is Adabas?</span><svg width="15" height="15" viewBox="0 0 15 15" fill="none" xmlns="http://www.w3.org/2000/svg" class="h-4 w-4 shrink-0 text-primary-500 transition-transform duration-200"><path d="M3.13523 6.15803C3.3241 5.95657 3.64052 5.94637 3.84197 6.13523L7.5 9.56464L11.158 6.13523C11.3595 5.94637 11.6759 5.95657 11.8648 6.15803C12.0536 6.35949 12.0434 6.67591 11.842 6.86477L7.84197 10.6148C7.64964 10.7951 7.35036 10.7951 7.15803 10.6148L3.15803 6.86477C2.95657 6.67591 2.94637 6.35949 3.13523 6.15803Z" fill="currentColor" fill-rule="evenodd" clip-rule="evenodd"></path></svg></button></h3><div data-state="closed" id="radix-:Rja4jjttrkva:" hidden="" role="region" aria-labelledby="radix-:R3a4jjttrkva:" data-orientation="vertical" class="overflow-hidden text-sm data-[state=closed]:animate-accordion-up data-[state=open]:animate-accordion-down" style="--radix-accordion-content-height:var(--radix-collapsible-content-height);--radix-accordion-content-width:var(--radix-collapsible-content-width)"></div></div><div data-state="closed" data-orientation="vertical" class="border-b AccordionTextItem_item__adF2E AccordionTextItem_item__adF2E"><h3 data-orientation="vertical" data-state="closed" class="flex"><button type="button" aria-controls="radix-:Rla4jjttrkva:" aria-expanded="false" data-state="closed" data-orientation="vertical" id="radix-:R5a4jjttrkva:" class="flex flex-1 gap-10 text-left items-center justify-between py-4 text-sm font-medium transition-all hover:underline [&[data-state=open]>svg]:rotate-180 AccordionTextItem_trigger__CiZ_J AccordionTextItem_trigger__CiZ_J" data-radix-collection-item=""><span>How is Adabas different than SQL?</span><svg width="15" height="15" viewBox="0 0 15 15" fill="none" xmlns="http://www.w3.org/2000/svg" class="h-4 w-4 shrink-0 text-primary-500 transition-transform duration-200"><path d="M3.13523 6.15803C3.3241 5.95657 3.64052 5.94637 3.84197 6.13523L7.5 9.56464L11.158 6.13523C11.3595 5.94637 11.6759 5.95657 11.8648 6.15803C12.0536 6.35949 12.0434 6.67591 11.842 6.86477L7.84197 10.6148C7.64964 10.7951 7.35036 10.7951 7.15803 10.6148L3.15803 6.86477C2.95657 6.67591 2.94637 6.35949 3.13523 6.15803Z" fill="currentColor" fill-rule="evenodd" clip-rule="evenodd"></path></svg></button></h3><div data-state="closed" id="radix-:Rla4jjttrkva:" hidden="" role="region" aria-labelledby="radix-:R5a4jjttrkva:" data-orientation="vertical" class="overflow-hidden text-sm data-[state=closed]:animate-accordion-up data-[state=open]:animate-accordion-down" style="--radix-accordion-content-height:var(--radix-collapsible-content-height);--radix-accordion-content-width:var(--radix-collapsible-content-width)"></div></div><div data-state="closed" data-orientation="vertical" class="border-b AccordionTextItem_item__adF2E AccordionTextItem_item__adF2E"><h3 data-orientation="vertical" data-state="closed" class="flex"><button type="button" aria-controls="radix-:Rna4jjttrkva:" aria-expanded="false" data-state="closed" data-orientation="vertical" id="radix-:R7a4jjttrkva:" class="flex flex-1 gap-10 text-left items-center justify-between py-4 text-sm font-medium transition-all hover:underline [&[data-state=open]>svg]:rotate-180 AccordionTextItem_trigger__CiZ_J AccordionTextItem_trigger__CiZ_J" data-radix-collection-item=""><span>How is data stored and maintained in Adabas database?</span><svg width="15" height="15" viewBox="0 0 15 15" fill="none" xmlns="http://www.w3.org/2000/svg" class="h-4 w-4 shrink-0 text-primary-500 transition-transform duration-200"><path d="M3.13523 6.15803C3.3241 5.95657 3.64052 5.94637 3.84197 6.13523L7.5 9.56464L11.158 6.13523C11.3595 5.94637 11.6759 5.95657 11.8648 6.15803C12.0536 6.35949 12.0434 6.67591 11.842 6.86477L7.84197 10.6148C7.64964 10.7951 7.35036 10.7951 7.15803 10.6148L3.15803 6.86477C2.95657 6.67591 2.94637 6.35949 3.13523 6.15803Z" fill="currentColor" fill-rule="evenodd" clip-rule="evenodd"></path></svg></button></h3><div data-state="closed" id="radix-:Rna4jjttrkva:" hidden="" role="region" aria-labelledby="radix-:R7a4jjttrkva:" data-orientation="vertical" class="overflow-hidden text-sm data-[state=closed]:animate-accordion-up data-[state=open]:animate-accordion-down" style="--radix-accordion-content-height:var(--radix-collapsible-content-height);--radix-accordion-content-width:var(--radix-collapsible-content-width)"></div></div><div data-state="closed" data-orientation="vertical" class="border-b AccordionTextItem_item__adF2E AccordionTextItem_item__adF2E"><h3 data-orientation="vertical" data-state="closed" class="flex"><button type="button" aria-controls="radix-:Rpa4jjttrkva:" aria-expanded="false" data-state="closed" data-orientation="vertical" id="radix-:R9a4jjttrkva:" class="flex flex-1 gap-10 text-left items-center justify-between py-4 text-sm font-medium transition-all hover:underline [&[data-state=open]>svg]:rotate-180 AccordionTextItem_trigger__CiZ_J AccordionTextItem_trigger__CiZ_J" data-radix-collection-item=""><span>Is Adabas a relational database?</span><svg width="15" height="15" viewBox="0 0 15 15" fill="none" xmlns="http://www.w3.org/2000/svg" class="h-4 w-4 shrink-0 text-primary-500 transition-transform duration-200"><path d="M3.13523 6.15803C3.3241 5.95657 3.64052 5.94637 3.84197 6.13523L7.5 9.56464L11.158 6.13523C11.3595 5.94637 11.6759 5.95657 11.8648 6.15803C12.0536 6.35949 12.0434 6.67591 11.842 6.86477L7.84197 10.6148C7.64964 10.7951 7.35036 10.7951 7.15803 10.6148L3.15803 6.86477C2.95657 6.67591 2.94637 6.35949 3.13523 6.15803Z" fill="currentColor" fill-rule="evenodd" clip-rule="evenodd"></path></svg></button></h3><div data-state="closed" id="radix-:Rpa4jjttrkva:" hidden="" role="region" aria-labelledby="radix-:R9a4jjttrkva:" data-orientation="vertical" class="overflow-hidden text-sm data-[state=closed]:animate-accordion-up data-[state=open]:animate-accordion-down" style="--radix-accordion-content-height:var(--radix-collapsible-content-height);--radix-accordion-content-width:var(--radix-collapsible-content-width)"></div></div><div data-state="closed" data-orientation="vertical" class="border-b AccordionTextItem_item__adF2E AccordionTextItem_item__adF2E"><h3 data-orientation="vertical" data-state="closed" class="flex"><button type="button" aria-controls="radix-:Rra4jjttrkva:" aria-expanded="false" data-state="closed" data-orientation="vertical" id="radix-:Rba4jjttrkva:" class="flex flex-1 gap-10 text-left items-center justify-between py-4 text-sm font-medium transition-all hover:underline [&[data-state=open]>svg]:rotate-180 AccordionTextItem_trigger__CiZ_J AccordionTextItem_trigger__CiZ_J" data-radix-collection-item=""><span>What is Natural Adabas on mainframe?</span><svg width="15" height="15" viewBox="0 0 15 15" fill="none" xmlns="http://www.w3.org/2000/svg" class="h-4 w-4 shrink-0 text-primary-500 transition-transform duration-200"><path d="M3.13523 6.15803C3.3241 5.95657 3.64052 5.94637 3.84197 6.13523L7.5 9.56464L11.158 6.13523C11.3595 5.94637 11.6759 5.95657 11.8648 6.15803C12.0536 6.35949 12.0434 6.67591 11.842 6.86477L7.84197 10.6148C7.64964 10.7951 7.35036 10.7951 7.15803 10.6148L3.15803 6.86477C2.95657 6.67591 2.94637 6.35949 3.13523 6.15803Z" fill="currentColor" fill-rule="evenodd" clip-rule="evenodd"></path></svg></button></h3><div data-state="closed" id="radix-:Rra4jjttrkva:" hidden="" role="region" aria-labelledby="radix-:Rba4jjttrkva:" data-orientation="vertical" class="overflow-hidden text-sm data-[state=closed]:animate-accordion-up data-[state=open]:animate-accordion-down" style="--radix-accordion-content-height:var(--radix-collapsible-content-height);--radix-accordion-content-width:var(--radix-collapsible-content-width)"></div></div></div></div><ol><li id="7vZwY4jRUThBYlepKWT6FR"><p><a class="text-link underline external" href="https://documentation.softwareag.com/adabas/ada825mfr/adamf/concepts/cfadais.htm#cfadais_dm" target="_blank" rel="noopener noreferrer">Adabas</a>. (2013). <i>Software AG</i>. Retrieved February 1, 2023.</p></li><li id="48x0bi3C0A6tHreG4byK7B"><p><a class="text-link underline external" href="http://www.math.wpi.edu/saspdf/adbas/c02.pdf" target="_blank" rel="noopener noreferrer">Adabas Essentials</a>. (1999). <i>Worcester Polytechnic Institute</i>. Retrieved February 1, 2023.</p></li><li id="4h0vB0q6WCho3qeyMdxwyh"><p><a class="text-link underline external" href="https://www.businesswire.com/news/home/20160831005145/en/Software-AG-Announces-New-%E2%80%9CAdabas-Natural-2050%E2%80%9D-Agenda" target="_blank" rel="noopener noreferrer">Software AG Announces New “Adabas & Natural 2050” Agenda</a>. (2016). <i>Business Wire</i>. Retrieved February 1, 2023.</p></li><li id="35eYsQePJYrRrHexauyG9W"><p><a class="text-link underline external" href="https://documentation.softwareag.com/adabas/ada825mfr/adamf/concepts/cfadais.htm#cfadais_dm" target="_blank" rel="noopener noreferrer">Adabas</a>. (2013). <i>SoftwareAG</i>. 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Research potential positions you are interested in as you decide which courses best align with your professional aspirations. \"]}],[\"$\",\"p\",\"5\",{\"children\":\"$undefined\"}],[\"$\",\"h3\",\"6\",{\"children\":[\"$\",\"b\",null,{\"children\":\"How to use Adabas as a software engineer\"}]}],[\"$\",\"p\",\"7\",{\"children\":\"To use Adabas as an engineer, you’ll need a basic understanding of the Adabas Natural programming language and familiarity with data modeling concepts. Settings where IT professionals can work with Adabas include:\"}],[\"$\",\"p\",\"8\",{\"children\":\"$undefined\"}],[\"$\",\"ul\",\"9\",{\"children\":[[\"$\",\"li\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":[[\"$\",\"b\",\"0\",{\"children\":\"As Adabas managers, administrators, or engineers: \"}],\"They’ll use it to store, manage, and retrieve data, in addition to generating reports and performing data analysis. 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However, it also supports non-relational data, which is queried with a language like NoSQL.\"}]}]]}],[\"$\",\"$L319\",null,{\"value\":\"How is data stored and maintained in Adabas database?\",\"className\":\"AccordionTextItem_item__adF2E AccordionTextItem_item__adF2E\",\"children\":[[\"$\",\"$L31a\",null,{\"className\":\"AccordionTextItem_trigger__CiZ_J AccordionTextItem_trigger__CiZ_J\",\"children\":[false,[\"$\",\"span\",null,{\"children\":\"How is data stored and maintained in Adabas database?\"}]]}],[\"$\",\"$L31b\",null,{\"className\":\"AccordionTextItem_content__G0vl3 AccordionTextItem_content__G0vl3\",\"children\":[\"$\",\"p\",null,{\"children\":\"Adabas stores data in tables where rows represent individual data records and columns represent fields. The record structure and the content of each field in a physical file are described in a Field Definition Table, or FDT, which is stored in the Associator. There is one FDT for each database file. 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Since it supports both relational and non-relational data models, Adabas is often classified as a relational-like database. \"}]}]]}],[\"$\",\"$L319\",null,{\"value\":\"What is Natural Adabas on mainframe?\",\"className\":\"AccordionTextItem_item__adF2E AccordionTextItem_item__adF2E\",\"children\":[[\"$\",\"$L31a\",null,{\"className\":\"AccordionTextItem_trigger__CiZ_J AccordionTextItem_trigger__CiZ_J\",\"children\":[false,[\"$\",\"span\",null,{\"children\":\"What is Natural Adabas on mainframe?\"}]]}],[\"$\",\"$L31b\",null,{\"className\":\"AccordionTextItem_content__G0vl3 AccordionTextItem_content__G0vl3\",\"children\":[\"$\",\"p\",null,{\"children\":\"Natural is a fourth-generation programming language used to develop applications that run on Adabas. 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(1999). \",[\"$\",\"i\",\"2\",{\"children\":\"Worcester Polytechnic Institute\"}],\". Retrieved February 1, 2023.\"]}]}],[\"$\",\"li\",\"2\",{\"id\":\"4h0vB0q6WCho3qeyMdxwyh\",\"children\":[\"$\",\"p\",null,{\"children\":[[\"$\",\"a\",\"0\",{\"className\":\"text-link underline external\",\"href\":\"https://www.businesswire.com/news/home/20160831005145/en/Software-AG-Announces-New-%E2%80%9CAdabas-Natural-2050%E2%80%9D-Agenda\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer\",\"children\":\"Software AG Announces New “Adabas \u0026 Natural 2050” Agenda\"}],\". (2016). \",[\"$\",\"i\",\"2\",{\"children\":\"Business Wire\"}],\". Retrieved February 1, 2023.\"]}]}],[\"$\",\"li\",\"3\",{\"id\":\"35eYsQePJYrRrHexauyG9W\",\"children\":[\"$\",\"p\",null,{\"children\":[[\"$\",\"a\",\"0\",{\"className\":\"text-link underline external\",\"href\":\"https://documentation.softwareag.com/adabas/ada825mfr/adamf/concepts/cfadais.htm#cfadais_dm\",\"target\":\"_blank\",\"rel\":\"noopener noreferrer\",\"children\":\"Adabas\"}],\". (2013). \",[\"$\",\"i\",\"2\",{\"children\":\"SoftwareAG\"}],\". Retrieved February 1, 2023.\"]}]}]]}]]}]]}]}]]}],[\"$\",\"div\",null,{\"className\":\"bg-primary text-primary-foreground pt-16\",\"children\":[\"$\",\"footer\",null,{\"className\":\"flex justify-between max-w-screen-xl mx-auto px-4 pb-4 \",\"children\":[\"$\",\"div\",null,{\"className\":\"flex flex-col w-full\",\"children\":[[\"$\",\"div\",null,{\"className\":\"flex flex-wrap justify-between mb-6 w-full\",\"children\":[[\"$\",\"a\",null,{\"href\":\"/\",\"className\":\"mb-6\",\"children\":[\"$\",\"$L22\",null,{\"src\":\"/trademark-logos/edx-by-2u-white.svg\",\"alt\":\"edX homepage\",\"title\":\"edX homepage\",\"width\":127,\"height\":67,\"className\":\"optanon-category-C0001\",\"data-ot-ignore\":true}]}],[\"$\",\"div\",null,{\"children\":[\"$\",\"div\",null,{\"className\":\"mb-4 justify-center flex flex-row\",\"children\":[[\"$\",\"div\",\"0\",{\"className\":\"mx-2 flex 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SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and manipulating data in databases. A working knowledge of databases and SQL is necessary for anyone who wants to start a career in Data Engineering, Data Analytics or Data Science. The purpose of this course is to introduce relational database (RDBMS) concepts and help you learn and apply foundational and intermediate knowledge of the SQL language.\u003c/span\u003e\u003cspan lang=\"EN-CA\"\u003e\u003c/span\u003e\u003cspan lang=\"EN-CA\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eYou will start with performing basic Create, Read, Update and Delete (CRUD) operations using CREATE, SELECT, INSERT, UPDATE and DELETE statements. You will then learn to filter, order, sort, and aggregate data. You will also work with functions, perform sub-selects and nested queries, as well as access multiple tables in the database.\u003cspan lang=\"EN-CA\"\u003e\u003c/span\u003e\u003cspan lang=\"EN-CA\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eThe emphasis in this course is on hands-on, practical learning. As such, you will work with real database systems, use real tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs, you will practice building and running SQL queries. 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Databases are so ubiquitous and important that computer science graduates frequently cite their database class as the one most useful to them in their industry or graduate-school careers.\u003c/p\u003e"])</script><script>self.__next_f.push([1,"340:T4f2,\u003cp\u003eThis course is one of five self-paced courses on the topic of Databases, originating as one of Stanford's three inaugural massive open online courses released in the fall of 2011. The original \"Databases\" courses are now all available on edx.org.\u003c/p\u003e\n\u003cp\u003eThis course covers underlying principles and design considerations related to databases; it can be taken either before or after taking other courses in the Databases series.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eThe Relational Algebra section of this course teaches the algebraic query language that provides the formal foundations of SQL.\u003c/li\u003e\n\u003cli\u003eThe Relational Design Theory section of the course provides comprehensive coverage of dependency theory and normal forms in relational databases, a well-accepted theoretical framework for developing good relational database schemas.\u003c/li\u003e\n\u003cli\u003eThe Unified Modeling Language section of this course introduces the data-modeling component of UML, and describes how UML diagrams are translated to relational database schemas.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eThe introductory videos in this course are the same as the introductory videos in \u003cem\u003eDatabases: Relational Databases and SQL\u003c/em\u003e ; they are included for the benefit of learners who have not taken \u003cem\u003eDatabases: Relational Databases and SQL\u003c/em\u003e.\u003c/p\u003e341:T805,"])</script><script>self.__next_f.push([1,"\u003cp\u003eStanford's online offering in Databases is now available as a set of five self-paced courses:\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDatabases: Relational Databases and SQL\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction to the relational model and concepts in relational databases and relational database management systems\u003c/li\u003e\n\u003cli\u003eComprehensive coverage of SQL, the long-accepted standard query language for relational database management systems\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDatabases: Advanced Topics in SQL (prerequisite: Relational Databases and SQL)\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eCreating indexes for increased query performance\u003c/li\u003e\n\u003cli\u003eUsing transactions for concurrency control and failure recovery\u003c/li\u003e\n\u003cli\u003eDatabase constraints: key, referential integrity, and \"check\" constraints\u003c/li\u003e\n\u003cli\u003eDatabase triggers\u003c/li\u003e\n\u003cli\u003eHow views are created, used, and updated in relational databases\u003c/li\u003e\n\u003cli\u003eAuthorization in relational databases\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDatabases: OLAP and Recursion\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eStar schemas, the data cube concept, and On-Line Analytical Processing (OLAP) features in relational databases including the Cube and Rollup operators\u003c/li\u003e\n\u003cli\u003eThe SQL standard for queries over recursively-defined relations\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDatabases: Modeling and Theory\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eRelational algebra – the algebraic query language that provides the formal foundations of SQL\u003c/li\u003e\n\u003cli\u003eDependency theory and normal forms in relational databases as the basis of schema design\u003c/li\u003e\n\u003cli\u003eThe data-modeling component of the Unified Modeling Language (UML), how UML diagrams are translated to relations\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDatabases: Semistructured Data\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eThe XML model for semistructured and self-describing data, including DTDs and some features of XML Schema\u003c/li\u003e\n\u003cli\u003eThe JSON model for human-readable structured or semistructured data\u003c/li\u003e\n\u003cli\u003eThe XPath language for processing XML data, and many features of the more advanced XQuery language\u003c/li\u003e\n\u003cli\u003eAn introduction to the XSLT rule-based language for querying and transforming XML data\u003c/li\u003e\n\u003c/ul\u003e"])</script><script>self.__next_f.push([1,"342:T8c0,"])</script><script>self.__next_f.push([1,"\u003cp\u003e\u003cstrong\u003eAbout the Database Series of Courses\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\"Databases\" was one of Stanford's three inaugural massive open online courses in the fall of 2011. 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Many of them include quizzes between video segments to check understanding, in-depth standalone quizzes, and/or a variety of automatically-checked interactive exercises. Each course also includes an unmoderated discussion forum and pointers to readings and resources. The courses are described briefly below. Taught by Professor Jennifer Widom, the overall curriculum draws from Stanford's popular longstanding Databases course.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhy Learn About Databases\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eDatabases are incredibly prevalent -- they underlie technology used by most people every day if not every hour. Databases reside behind a huge number of websites; they're a crucial component of telecommunications systems, banking systems, video games, and just about any other software system or electronic device that maintains some amount of persistent information. In addition to persistence, database systems provide a number of other properties that make them exceptionally useful and convenient: reliability, efficiency, scalability, concurrency control, data abstractions, and high-level query languages. Databases are so ubiquitous and important that computer science graduates frequently cite their database class as the one most useful to them in their industry or graduate-school careers.\u003c/p\u003e"])</script><script>self.__next_f.push([1,"343:T4a1,\u003cp\u003eThis course is one of five self-paced courses on the topic of Databases, originating as one of Stanford's three inaugural massive open online courses released in the fall of 2011. The original \"Databases\" courses are now all available on edx.org.\u003c/p\u003e\n\u003cp\u003ePart of the Databases series, this is a standalone course; learners seeking to develop an understanding of topics in this course do not need to take other Databases courses. This course covers the JSON and XML standards for semistructured data, along with query languages and schema declaration features for XML.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eThe XML Data section of this course introduces the XML model for semistructured and self-describing data, including DTDs and some features of XML Schema.\u003c/li\u003e\n\u003cli\u003eThe JSON Data section of this course introduces the JSON model for human-readable structured or semistructured data.\u003c/li\u003e\n\u003cli\u003eThe XPath and XQuery section of this course covers the XPath language for processing XML data, along with many features of the more advanced XQuery language.\u003c/li\u003e\n\u003cli\u003eThe XSLT section of this course provides a general introduction to the XSLT rule-based language for querying and transforming XML data.\u003c/li\u003e\n\u003c/ul\u003e344:T805,"])</script><script>self.__next_f.push([1,"\u003cp\u003eStanford's online offering in Databases is now available as a set of five self-paced courses:\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDatabases: Relational Databases and SQL\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction to the relational model and concepts in relational databases and relational database management systems\u003c/li\u003e\n\u003cli\u003eComprehensive coverage of SQL, the long-accepted standard query language for relational database management systems\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDatabases: Advanced Topics in SQL (prerequisite: Relational Databases and SQL)\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eCreating indexes for increased query performance\u003c/li\u003e\n\u003cli\u003eUsing transactions for concurrency control and failure recovery\u003c/li\u003e\n\u003cli\u003eDatabase constraints: key, referential integrity, and \"check\" constraints\u003c/li\u003e\n\u003cli\u003eDatabase triggers\u003c/li\u003e\n\u003cli\u003eHow views are created, used, and updated in relational databases\u003c/li\u003e\n\u003cli\u003eAuthorization in relational databases\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDatabases: OLAP and Recursion\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eStar schemas, the data cube concept, and On-Line Analytical Processing (OLAP) features in relational databases including the Cube and Rollup operators\u003c/li\u003e\n\u003cli\u003eThe SQL standard for queries over recursively-defined relations\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDatabases: Modeling and Theory\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eRelational algebra – the algebraic query language that provides the formal foundations of SQL\u003c/li\u003e\n\u003cli\u003eDependency theory and normal forms in relational databases as the basis of schema design\u003c/li\u003e\n\u003cli\u003eThe data-modeling component of the Unified Modeling Language (UML), how UML diagrams are translated to relations\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDatabases: Semistructured Data\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eThe XML model for semistructured and self-describing data, including DTDs and some features of XML Schema\u003c/li\u003e\n\u003cli\u003eThe JSON model for human-readable structured or semistructured data\u003c/li\u003e\n\u003cli\u003eThe XPath language for processing XML data, and many features of the more advanced XQuery language\u003c/li\u003e\n\u003cli\u003eAn introduction to the XSLT rule-based language for querying and transforming XML data\u003c/li\u003e\n\u003c/ul\u003e"])</script><script>self.__next_f.push([1,"345:T8c0,"])</script><script>self.__next_f.push([1,"\u003cp\u003e\u003cstrong\u003eAbout the Database Series of Courses\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\"Databases\" was one of Stanford's three inaugural massive open online courses in the fall of 2011. 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Many of them include quizzes between video segments to check understanding, in-depth standalone quizzes, and/or a variety of automatically-checked interactive exercises. Each course also includes an unmoderated discussion forum and pointers to readings and resources. The courses are described briefly below. Taught by Professor Jennifer Widom, the overall curriculum draws from Stanford's popular longstanding Databases course.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhy Learn About Databases\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eDatabases are incredibly prevalent -- they underlie technology used by most people every day if not every hour. Databases reside behind a huge number of websites; they're a crucial component of telecommunications systems, banking systems, video games, and just about any other software system or electronic device that maintains some amount of persistent information. In addition to persistence, database systems provide a number of other properties that make them exceptionally useful and convenient: reliability, efficiency, scalability, concurrency control, data abstractions, and high-level query languages. Databases are so ubiquitous and important that computer science graduates frequently cite their database class as the one most useful to them in their industry or graduate-school careers.\u003c/p\u003e"])</script><script>self.__next_f.push([1,"346:T805,"])</script><script>self.__next_f.push([1,"\u003cp\u003eStanford's online offering in Databases is now available as a set of five self-paced courses:\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDatabases: Relational Databases and SQL\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduction to the relational model and concepts in relational databases and relational database management systems\u003c/li\u003e\n\u003cli\u003eComprehensive coverage of SQL, the long-accepted standard query language for relational database management systems\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDatabases: Advanced Topics in SQL (prerequisite: Relational Databases and SQL)\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eCreating indexes for increased query performance\u003c/li\u003e\n\u003cli\u003eUsing transactions for concurrency control and failure recovery\u003c/li\u003e\n\u003cli\u003eDatabase constraints: key, referential integrity, and \"check\" constraints\u003c/li\u003e\n\u003cli\u003eDatabase triggers\u003c/li\u003e\n\u003cli\u003eHow views are created, used, and updated in relational databases\u003c/li\u003e\n\u003cli\u003eAuthorization in relational databases\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDatabases: OLAP and Recursion\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eStar schemas, the data cube concept, and On-Line Analytical Processing (OLAP) features in relational databases including the Cube and Rollup operators\u003c/li\u003e\n\u003cli\u003eThe SQL standard for queries over recursively-defined relations\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDatabases: Modeling and Theory\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eRelational algebra – the algebraic query language that provides the formal foundations of SQL\u003c/li\u003e\n\u003cli\u003eDependency theory and normal forms in relational databases as the basis of schema design\u003c/li\u003e\n\u003cli\u003eThe data-modeling component of the Unified Modeling Language (UML), how UML diagrams are translated to relations\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eDatabases: Semistructured Data\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eThe XML model for semistructured and self-describing data, including DTDs and some features of XML Schema\u003c/li\u003e\n\u003cli\u003eThe JSON model for human-readable structured or semistructured data\u003c/li\u003e\n\u003cli\u003eThe XPath language for processing XML data, and many features of the more advanced XQuery language\u003c/li\u003e\n\u003cli\u003eAn introduction to the XSLT rule-based language for querying and transforming XML data\u003c/li\u003e\n\u003c/ul\u003e"])</script><script>self.__next_f.push([1,"347:T527,\u003cp\u003eI sistemi di database sono diventati fondamentali nei sistemi di gestione delle informazioni, contribuendo allo sviluppo di una società sempre più basata sulla conoscenza. Tutte le moderne applicazioni IT sfruttano un database per la memorizzazione, l'elaborazione e il recupero delle informazioni. Viene quindi presentato il linguaggio SQL per l'interazione con un database relazionale e vengono introdotti i problemi di progettazione dei sistemi che interagiscono con i database. Infine, le tecnologie dei moderni sistemi di database sono descritte utilizzando il DBMS Oracle.\u003c/p\u003e\n\u003cp\u003eDatabase Systems have become fundamental in information management systems, contributing to the development of an increasingly knowledge-based society. All modern IT applications now exploit a database for storing, processing and retrieving information. The course illustrates the basic concepts for understanding not only database models and their evolution, but also the principles of their conceptual, logical and physical design within so-called information systems. The SQL language for interaction with a relational database is then presented and the problems of designing systems that interact with databases are introduced. Finally, the technologies of modern database systems are described by using the Oracle DBMS.\u003c/p\u003e348:T551,\u003cp\u003e\u003cem\u003ePlease Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThis course is an introduction to the world of relational databases. You will explore the fundamental concepts of relational databases and Relational Database Management Systems (RDBMS), learn about relational database design, and understand how to transform source data into tables with clearly defined relationships. From there, you will learn how to apply relational database design principles to your own data, and"])</script><script>self.__next_f.push([1," create databases, tables, and load data yourself. You’ll get an introduction to Structured Query Language (SQL) and use it to add the keys and constraints necessary in a relational database.\u003c/p\u003e\n\u003cp\u003eThis course includes hands-on, practical exercises to help you demonstrate your learning. You will work with several industry standard relational databases, including IBM Db2, MySQL, and PostgreSQL. Based on what you’ve learned through the course, you’ll complete a final project in which you’ll design, create, and populate a database instance containing multiple tables.\u003c/p\u003e\n\u003cp\u003eNo prior knowledge of databases or programming is required.\u003c/p\u003e349:T532,\u003cp\u003e\u003cem\u003ePlease Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eMuch of the world's data lives in databases. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and extracting various data types from databases. A working knowledge of databases and SQL is necessary to advance as a data scientist or a machine learning specialist. The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment.\u003c/p\u003e\n\u003cp\u003eThe emphasis in this course is on hands-on, practical learning. As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs, you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python.\u003c/p\u003e\n\u003cp\u003eNo prior knowledge of databases, SQL, Python, or programming is required.\u003c/p\u003e34a:T5af,\u003cp\u003eData Warehouse Engineers and Business Analysts "])</script><script>self.__next_f.push([1,"are in high demand as organizations become increasingly dependent on data to support their operations.\u003c/p\u003e\r\n\r\n\u003cp\u003eData warehousing has transformed the way organizations perform business analysis and make strategic decisions. Massive amounts of data from multiple sources can be easily accessed using SQL and formatted for analysis, reporting and Business Intelligence for organizations to gain deeper business insights.\u003c/p\u003e \r\n \r\n\u003cp\u003eThe Data Warehouse Engineer Professional Certificate provides you the skills and knowledge to design, deploy and manage Enterprise Data Warehouses (EDW) and utilize Business Intelligence tools to analyze and extract insights using reports and dashboards.\u003c/p\u003e \r\n \r\n\u003cp\u003eUpon completing this program, you’ll gain practical experience to work with Relational Database Management Systems (RDBMS), query data using SQL statements, utilize Linux/UNIX shell scripts to automate repetitive tasks, and build data pipelines using Apache Airflow and Kafka to Extract, Transform and Load (ETL) data. You’ll also acquire the skills to build and operationalize Data Warehouses and conduct data analysis.\u003c/p\u003e\r\n \r\n\u003cp\u003eWithin each course you’ll practice your skills with numerous hands-on labs and multiple projects to add to your portfolio for launching your career.\u003c/p\u003e\r\n \r\n\u003cp\u003eTo get started, all you need is basic computer literacy and the desire to learn and practice new skills.\u003c/p\u003e34b:T6c0,\u003cp\u003eThe ability to work with data and access databases is one of the most sought-after skills in our data driven economy. SQL and NoSQL skills are essential for anyone working with data and are listed as one of the top skills in job postings for professionals like Data Engineers, Database Administrators, Data Scientists, Data Analysts, Business Analysts, BI Specialists, Software / Application Developers, Data Architects, and Big Data Engineers.\u003c/p\u003e\r\n \r\n\u003cp\u003eThis Professional Certificate is designed to provide you with the foundational knowledge, skills, and hands-on experience required to work with relational database management "])</script><script>self.__next_f.push([1,"systems (RDBMSes), SQL (Structured Query Language), and NoSQL databases.\u003c/p\u003e\r\n\r\n\u003cp\u003eOrganizations use relational databases (RDBMS) to manage and store data for its consistency and reliability, and SQL (Structured Query Language) to query and perform analysis for making critical and informed business decisions. Many organizations also deploy NoSQL databases for non-traditional use cases when scalability and high availability are needed.\u003c/p\u003e\r\n\r\n\u003cp\u003eUpon completing this program, you’ll have developed the skills and experience to work with relational databases like MySQL, PostgreSQL, and IBM Db2; query databases using SQL, as well as perform Create, Read, Update and Delete (CRUD) operations using NoSQL technologies and databases like MongoDB, Cassandra, and Cloudant.\u003c/p\u003e\r\n\r\n\u003cp\u003eWithin each course, you’ll practice your skills with numerous hands-on labs and complete projects to add to your portfolio for demonstrating your proficiency using RDBMSes, SQL, and NoSQL.\u003c/p\u003e \r\n\r\n\u003cp\u003eTo get started, all you need is basic computer literacy and the desire to learn and practice new skills.\u003c/p\u003e34c:T496,\u003cp\u003e\u003cspan lang=\"EN-US\"\u003eThe biggest asset of today's companies is their data, and data that is mostly stored in online relational databases.\u003c/span\u003e\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eVirtually all relational database management systems in use today use SQL as a tool for manipulating and querying the data they contain.\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eSQL language is an international standard that allows, in a simple way, powerful data extraction and summarization queries to be performed with very few commands.\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eIf you want to make a career in business intelligence, web application programming or any other activity that requires querying or updating data, mastering SQL is a basic requirement.\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eIn this course we will teach you the basic concepts needed to manage a database and we will introduce you gradually and practically to the use of SQL, starting with the simple query t"])</script><script>self.__next_f.push([1,"o get all the data stored in a table and ending with complex queries able to summarize the data contained in several related tables, queries that you will be able to replicate in a SQL emulator in the cloud during the course.\u003c/p\u003e34d:T422,\u003cp\u003e\u003cspan lang=\"EN-US\"\u003eBasic concepts of databases and relational databases such as table, record, field, relation, primary key or secondary key.\u003c/span\u003e\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e*\u003cspan lang=\"EN-US\"\u003e Use of the SELECT command with the WHERE clause and various tools such as IN, BETWEEN or LIKE to query databases using string and range patterns.\u003c/span\u003e\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e*\u003cspan lang=\"EN-US\"\u003e The SQL commands for creating, changing and deleting tables and databases: CREATE, ALTER and DROP\u003c/span\u003e\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e*\u003cspan lang=\"EN-US\"\u003e The SQL commands for modifying the contents of database tables: INSERT, UPDATE and DELETE.\u003c/span\u003e\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e*\u003cspan lang=\"EN-US\"\u003e How to group and sort the results of a SQL query with ORDER BY, GROUP BY and how to summarize them with functions such as SUM, AVG, MAX or MIN.\u003c/span\u003e\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e*\u003cspan lang=\"EN-US\"\u003e How to perform complex queries that return the results of several tables with JOIN and UNION\u003c/span\u003e\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e34e:T414,\u003cp\u003eThis course is one of the 5 courses of an introductory business information systems series, designed to introduce you to the amazing world of Information Technology. \u003c/p\u003e\n\u003cp\u003eThe series of courses is designed so that a professional in a field outside the information technologies (financial, administrative or managerial) acquires the basic knowledge in Information Technology to be able to interact more profitably with the computer and telecommunications specialists of your company or other corporations with which you are related, being able to specify requirements, evaluate workloads and monitor results in a much more effective way. \u003c/p\u003e\n\u003cp\u003eThe syllabus of the series is based on the CLEP Information Systems and Computer Applications"])</script><script>self.__next_f.push([1," exam. \u003c/p\u003e\n\u003cp\u003eIn this course, you will learn the basic concepts of information systems and their application. \u003c/p\u003e\n\u003cp\u003eBy completing the series of 5 courses, you will be prepared to interact effectively with specialists in the Information Technology sector (and pass the CLEP ISCA exam if you wish\u003c/p\u003e34f:T5d0,\u003cp\u003e\u003cspan lang=\"EN-US\"\u003eThis \u003c/span\u003emini-course provides a practical introduction to commonly used Linux / UNIX shell commands and teaches you basics of Bash shell scripting to automate a variety of tasks. The course includes both video-based lectures as well as hands-on labs to practice and apply what you learn. You will have no-charge access to a virtual Linux server that you can access through your web browser, so you don't need to download and install anything to perform the labs.\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eIn this course you will work with general purpose commands, like id, date, uname, ps, top, echo, man; directory manageent commands such as pwd, cd, mkdir, rmdir, find, df; file management commands like cat, wget, more, head, tail, cp, mv, touch, tar, zip, unzip; access control command chmod; text processing commands - wc, grep, tr; as well as networking commands - hostname, ping, ifconfig and curl. You will create simple to intermediate shell scripts that involve Metacharacters, Quoting, Variables, Command substitution, I/O Redirection, Pipes \u0026amp; Filters, and Command line arguments. You will also schedule cron jobs using crontab. \u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eThis course provides essential hands-on skills for data engineers, data scientists, software developers, and cloud practitioners who want to get familiar with frequently used commands on Linux, MacOS and other Unix-like operating systems as well as get started with creating shell scripts.\u003c/p\u003e350:Tace,"])</script><script>self.__next_f.push([1,"\u003cp\u003eArm technology powered the smartphone revolution, and now it’s helping power the Internet of Things (IoT). This online course will provide beginners with an accelerated path to gain the knowledge necessary to thrive in a world transformed by innovations in IoT.\u003c/p\u003e\n\u003cp\u003eYou can purchase the bill of materials required for the course directly from our technology partner, STMicroelectronics: \u003ca href=\"https://www.st.com/content/st_com/en/campaigns/educationalplatforms/iot-arm-edx-edu.html\"\u003e\u003cspan lang=\"EN-US\"\u003ehttps://www.st.com/con\u003c/span\u003etent/st_com/en/campaigns/educationalplatforms/iot-arm-edx-edu.html\u003c/a\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cstrong\u003eInstructor Update:\u003c/strong\u003e We've identified an issue with the Google IoT Cloud service used in Modules 5 and 6 of the course. We are working to implement a solution to fix this issue and will update learners on our progress.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eYou’ll start your learning journey in this course by understanding the fundamentals of IoT, but quickly move to practical projects that will teach you the essentials of building Arm-based IoT applications.\u003c/p\u003e\n\u003cp\u003eGiven that mobile computing platforms are where IoT often happens, we’ll also give you a basic understanding of Android application design, so you can integrate your mobile device into your IoT applications.\u003c/p\u003e\n\u003cp\u003eIoT applications have the potential to change the lives of billions around the world. This is why we’ll also provide you with the social context behind the technology. The course includes videos that illustrate the global impact of IoT applications – especially in emerging economies such as Africa. From ‘smart farming’, to solar panels and ‘blood drones’ - each case study contextualises IoT in real ‘first mile’ and ‘last mile’ applications, to help you understand the transformative impact of this technology in the real world.\u003c/p\u003e\n\u003cp\u003eOver the 6 modules, you will gain a key overview of:\u003c/p\u003e\n\u003cp\u003e• Internet of Things (IoT) fundamentals\u003c/p\u003e\n\u003cp\u003e• IoT and embedded system architectures\u003c/p\u003e\n\u003cp\u003e• Embedded application programming\u003c/p\u003e\n\u003cp\u003e• Connectivity and networking technologies such as Bluetooth Low Energy (BLE), LoRaWAN, ZigBee, and the IEEE 802.1 protocols\u003c/p\u003e\n\u003cp\u003e• Cloud computing\u003c/p\u003e\n\u003cp\u003eWhile not a requirement for this course, we recommend that learners who would like to improve their embedded systems skills (one of the essential technologies behind IoT implementations), also take our \u003ca href=\"https://www.edx.org/professional-certificate/armeducationx-embedded-systems-essentials\"\u003eEmbedded Systems Essentials on Arm\u003c/a\u003e edX program.\u003c/p\u003e\n\u003cp\u003eThe Internet of Things is one of the fundamental building blocks of the next wave of computing. Forge your own career path in this connected world by enrolling in our course today!\u003c/p\u003e"])</script><script>self.__next_f.push([1,"351:T618,\u003cp\u003eOrganizations have more data at their disposal today than ever before. The vast amount of data that organizations are capturing, along with their desire to extract meaningful insights is driving an urgent demand for Data Engineers.\u003c/p\u003e\r\n \r\n\u003cp\u003eData Engineers play a fundamental role in harnessing data that enable organizations to apply business intelligence for making informed decisions. Today’s Data Engineers require a broad set of skills to develop and optimize data systems and make data available to the organization for analysis.\u003c/p\u003e\r\n \r\n\u003cp\u003eThis Professional Certificate provides you the job-ready skills you will need to launch your career as an entry level data engineer.\u003c/p\u003e \r\n\r\n\u003cp\u003eUpon completing this Professional Certificate, you will have extensive knowledge and practical experience with cloud-based relational databases (RDBMS) and NoSQL data repositories, working with Python, Bash and SQL, processing big data with Apache Hadoop and Apache Spark, using ETL (extract, transform and load) tools, creating data pipelines, using Apache Kafka and Airflow, designing, populating, and querying data warehouses and utilizing business intelligence tools.\u003c/p\u003e\r\n \r\n\u003cp\u003eWithin each course, you’ll gain practical experience with hands-on labs and projects for building your portfolio. In the final Capstone project, you’ll apply your knowledge and skills attained throughout this program and demonstrate your ability to perform as a Data Engineer.\u003c/p\u003e \r\n \r\n\u003cp\u003eThis program does not require any prior data engineering or programming experience.\u003c/P\u003e352:Ta6d,"])</script><script>self.__next_f.push([1,"\u003cp\u003eThe US Bureau of Labor Statistics projects a 23% increase in cybersecurity jobs to 2033. The demand for cybersecurity analysts is growing ever stronger!\r\nWhat do cybersecurity analysts do? Cybersecurity analysts protect an organization's digital assets by identifying, analyzing, and mitigating security threats, ensuring data and systems remain secure against cyberattacks. \r\n \r\n\u003cp\u003eThis IBM Cybersecurity Professional Certificate has been designed by industry experts to provide you with the job-ready cybersecurity and digital forensic skills you need to jumpstart your cybersecurity career. No prior cybersecurity experience is required. \r\n\r\n\u003cp\u003eTo begin, you’ll build your foundational knowledge of cybersecurity essentials, tools, and technologies, operating systems, networking fundamentals, and the basics of cyberattacks. You’ll explore database fundamentals and vulnerabilities and learn about the steps a cybersecurity analyst would take to prevent, manage, and mitigate cybersecurity attacks. Plus, you’ll learn about cybersecurity architecture, compliance frameworks, standards, and regulations. \r\n\r\n\u003cp\u003eYou’ll also explore gen AI for cybersecurity and build valuable skills and hands-on experience in penetration testing, incident response, forensics, and threat intelligence. You’ll work on real-world projects developing cybersecurity plans and compliance frameworks, giving you great practical work to talk about in interviews. Plus, you’ll use real-world case studies that demonstrate that you can: \r\n\u003cul\u003e\r\n\u003cli\u003eApply incident response methodologies and forensics practices.\u003c/li\u003e \r\n\u003cli\u003eUse industry-specific security tools.\u003c/li\u003e \r\n\u003cli\u003eApply cybersecurity industry standards and best practices that mitigate risks, enhance security, and ensure compliance through audit processes.\u003c/li\u003e \r\n\u003cli\u003eUse gen AI tools to boost cybersecurity effectiveness and productivity.\u003c/li\u003e \r\n\u003cli\u003eInvestigate a real-world security breach by identifying the attack, vulnerabilities, costs, and prevention.\u003c/li\u003e\r\n\u003c/ul\u003e\u003c/p\u003e \r\n\r\n\u003cp\u003eTake advantage of the insights provided by seasoned industry experts to guide your job search, resume creation, and Interviewing to help you land your first cybersecurity role. This program will also prepare you to take and earn a 30% discount on the CompTIA Security+ and CySA+ certification exams. After successfully completing this program, you’ll have an industry-recognized IBM Professional Certificate that you can add to your resume and portfolio.\u003c/p\u003e\r\n\r\n\u003cp\u003eIf you’re looking to kickstart your cybersecurity career as a sought-after analyst, ENROLL TODAY, and look forward to being job-ready in less than 6 months!\u003c/p\u003e"])</script><script>self.__next_f.push([1,"353:T55e,\u003cp\u003eToday’s businesses are investing significantly in capabilities to harness the massive amounts of data that fuel Business Intelligence (BI). Working knowledge of Data Warehouses and BI Analytics tools are a crucial skill for Data Engineers, Data Warehousing Specialists and BI Analysts, making who are amongst, the most valued resources for organizations.\u003c/p\u003e\n\u003cp\u003eThis course prepares you with the skills and hands-on experience to design, implement and maintain enterprise data warehouse systems and business intelligence tools. You’ll gain extensive knowledge on various data repositories including data marts, data lakes and data reservoirs, explore data warehousing system architectures, deepen on data cubes and data organization using related tables. And analyze data using business intelligence like Cognos Analytics, including its reporting and dashboard features, and interactive visualization capabilities. \u003c/p\u003e\n\u003cp\u003eThis course provides hands-on experience with practice labs and a real-world inspired project that can be added to your portfolio and will demonstrate your proficiency in working with data warehouses. \u003cspan lang=\"EN\"\u003eSkills you will gain include building data warehouses, Star/Snowflake schemas, CUBEs, ROLLUPs, Materialized Views/MQTs, reports and dashboards.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eThis course assumes prior SQL and relational database experience.\u003c/p\u003e354:T4d8,\u003cp\u003e\u003cspan lang=\"EN-US\"\u003eThis course will give you the necessary background for developing cybersecurity skills and understanding threat intelligence in cybersecurity.\u003c/span\u003e\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eThroughout the course, you will gain a comprehensive understanding of network defensive tactics and explore practical examples of how to protect networks from potential threats. You will delve into the concepts and tools of data loss prevention and endpoint protection, to equip yourself with strategies to safeguard critical data. Additionally, you will have the opportunity to explore a data loss prevention tool and learn how to effectively classif"])</script><script>self.__next_f.push([1,"y data within your database environment and enhance data security measures.\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eThis course also covers essential security vulnerability scanning technologies and tools, enabling you to identify potential weaknesses in systems and applications. You will recognize various application security threats and common vulnerabilities. \u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eEnroll in this course today in order to establish the necessary foundation for developing cybersecurity expertise as part of the IBM Cybersecurity Analyst Professional Certificate program.\u003c/p\u003e355:T522,\u003cp\u003eThis course is one of the 5 courses of an introductory business information systems series, designed to introduce you to the amazing world of Information Technology. \u003c/p\u003e\n\u003cp\u003eThe series of courses is designed so that a professional in a field outside the information technologies (financial, administrative or managerial) acquires the basic knowledge in Information Technology to be able to interact more profitably with the computer and telecommunications specialists of your company or other corporations with which you are related, being able to specify requirements, evaluate workloads and monitor results in a much more effective way. \u003c/p\u003e\n\u003cp\u003eThe syllabus of the series is based on the CLEP Information Systems and Computer Applications exam. \u003c/p\u003e\n\u003cp\u003eIn this course you will learn the basics of software programming. We will address the basic logic behind any computer program, what types and structures of data and files are used, how object-oriented programming works, database management and SQL language and various concepts and guidelines in web development such as HTML, XML, CSS or javascript, among others. \u003c/p\u003e\n\u003cp\u003eBy completing the series of 5 courses, you will be prepared to interact effectively with specialists in the Information Technology sector (and pass the CLEP ISCA exam if you wish).\u003c/p\u003e356:T416,\u003cp\u003e\u003cspan lang=\"EN-US\"\u003ePostgreSQL, with over 35 years of development, is a popular open-source object-relational database system. Its"])</script><script>self.__next_f.push([1," website boasts of millions of users. Developers use PostgreSQL to build applications, store and protect data, and manage data. pgAdmin is a graphical user interface (GUI) tool that enables users to administer PostgreSQL databases without using the command line.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eIn this hands-on guided project, you will learn how to use the pgAdmin GUI tool with PostgreSQL. You will gain practical skills such as how to create a database, how to create tables, and how to load data into tables manually and automatically with script files. By the end of this hands-on guided project, you will understand the fundamentals of pgAdmin and PostgreSQL and be able to create databases and tables on your own.\u003c/p\u003e\n\u003cp\u003eYour lab provides access to a Cloud based IDE that has all of the required software, including PostgreSQL, installed. All you need is a recent version of a modern web browser to complete this project.\u003c/p\u003e357:T495,\u003cp\u003e\u003cspan lang=\"EN-US\"\u003ePostgreSQL, with over 35 years of development, is a popular open-source object-relational database system. Its website boasts of millions of users. Developers use PostgreSQL to build applications, store and protect data, and manage data. pgAdmin is a graphical user interface (GUI) tool that enables users to administer PostgreSQL databases without using the command line.\u003c/span\u003e\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003cspan lang=\"EN\"\u003e\u003c/span\u003e\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eIn this hands-on guided project, you will learn how to use the pgAdmin GUI tool with PostgreSQL. You will gain practical skills such as how to create a database, how to create tables, and how to load data into tables manually and automatically with script files. By the end of this hands-on guided project, you will understand the fundamentals of pgAdmin and PostgreSQL and be able to create databases and tables on your own.\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eYour lab provides access to a Cloud based IDE that has all of the required software, including PostgreSQL, installed. All you need is a recent version of a "])</script><script>self.__next_f.push([1,"modern web browser to complete this project.\u003c/p\u003e358:T407,\u003cp\u003e\u003cspan lang=\"EN-US\"\u003eThe speed, reliability, \u003c/span\u003escalability, and ease of MySQL make it one of the databases of choice for organizations including Facebook, Twitter, YouTube, Yahoo!, and other organizations. Back-end, server-side, and full-stack developers, including database engineers, web developers, and software engineers, can all benefit from having MySQL skills.\u003c/p\u003e\n\u003cp\u003eThis hands-on guided project provides you with practical experience working with MySQL.\u003cspan lang=\"EN\"\u003e After completing this project, \u003c/span\u003e\u003cspan lang=\"EN-US\"\u003eyou will have developed job-ready skills, such as the ability to use the MySQL command line interface (CLI) to create a database and restore the structure and contents of tables. Then, you will learn how to explore and query tables. Finally, you will learn how to dump and backup tables from a database.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eYour online lab environment has everything you need to get started, including MySQL. Also, note that this platform works best with current versions of modern browsers.\u003c/p\u003e359:T483,\u003cp\u003e\u003cspan lang=\"EN-US\"\u003e\u003cspan lang=\"EN-US\"\u003eThe speed, reliability, \u003c/span\u003escalability, and ease of MySQL make it one of the databases of choice for organizations including Facebook, Twitter, YouTube, Yahoo!, and other organizations. Back-end, server-side, and full-stack developers, including database engineers, web developers, and software engineers, can all benefit from having MySQL skills. \u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eThis hands-on guided project provides you with practical experience working with MySQL.\u003cspan lang=\"EN\"\u003e After completing this project, \u003c/span\u003e\u003cspan lang=\"EN-US\"\u003eyou will have developed job-ready skills, such as the ability to use the MySQL command line interface (CLI) to create a database and restore the structure and contents of tables. Then, you will learn how to explore and query tables. Finally, you will learn how to dump and backup tables from a database.\u003c/span\u003e\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c"])</script><script>self.__next_f.push([1,"span lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eYour online lab environment has everything you need to get started, including MySQL. Also, note that this platform works best with current versions of modern browsers.\u003c/p\u003e35a:T8ca,"])</script><script>self.__next_f.push([1,"\u003cp\u003e\"Basics of Data Science\" is designed to provide participants with a comprehensive overview of the fundamental challenges, concepts and tools of data science. The content can be organized in three main areas of data science:\u003c/p\u003e\n\u003cp\u003eInitially, a brief overview is given to data science infrastructure concerned with volume and velocity. Topics include instrumentation, big data infrastructures and distributed systems, databases and data management. The main challenge is to make things scalable and instant.\u003c/p\u003e\n\u003cp\u003eThe main focus of the course is on data analysis concerned with extracting knowledge from data. Key topics covered are data exploration and visualization, data preprocessing, data quality issues and transformations, various supervised learning techniques with a focus on their evaluation, unsupervised learning, clustering, pattern mining, process mining and text mining. The main challenge of data analysis is to provide answers to known and unknown unknowns.\u003c/p\u003e\n\u003cp\u003eFinally, data science affects people, organizations, and society. The course is concluded by discussing challenges and providing guidelines and techniques to apply data science techniques responsibly with a focus on confidentiality and fairness. Topics include ethics \u0026amp; privacy, IT law, human-technology interaction, operations management, business models, entrepreneurship, and the main challenge is to do all of the above in a responsible manner.\u003c/p\u003e\n\u003cp\u003eThroughout the course, the ideas and concepts conveyed in the videos are complemented by hands-on exercises using Python (Jupyter notebooks). Participants will be guided to apply the presented techniques on artificial and real-life data sets to gain valuable hands-on experience.\u003c/p\u003e\n\u003cp\u003eAfter the course participants should have a good overview of the best practices, challenges, goals and concepts of the broader data science field, providing a strong foundation for further study or professional development in this rapidly evolving field. 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preparing you for real-world data challenges.\u003c/p\u003e35d:T4d2,\u003cul\u003e\n\u003cli\u003e\u003cp dir=\"ltr\"\u003eLeverage Rust's robust data structures and collections for efficient data manipulation.\u003c/p\u003e\u003c/li\u003e\n\u003cli\u003e\u003cp dir=\"ltr\"\u003eUse Rust's safety and security features to build reliable and secure data engineering solutions.\u003c/p\u003e\u003c/li\u003e\n\u003cli\u003e\u003cp dir=\"ltr\"\u003eUtilize Rust's libraries and tools specific to data engineering, such as Diesel, async, Polars, and Apache Arrow.\u003c/p\u003e\u003c/li\u003e\n\u003cli\u003e\u003cp dir=\"ltr\"\u003eInterface effectively with databases, data processing systems, REST and gRPC protocols, and leverage AWS SDK for cloud-based data operations in Rust.\u003c/p\u003e\u003c/li\u003e\n\u003cli\u003e\u003cp dir=\"ltr\"\u003eDesign and implement comprehensive data processing systems in Rust.\u003c/p\u003e\u003c/li\u003e\n\u003cli\u003e\u003cp dir=\"ltr\"\u003eApply the principles of concurrent programming in Rust to build high-performance data processing applications.\u003c/p\u003e\u003c/li\u003e\n\u003cli\u003e\u003cp dir=\"ltr\"\u003eIdentify and mitigate common data engineering problems using Rust's unique features, like its strong type system and memory safety guarantees.\u003c/p\u003e\u003c/li\u003e\n\u003cli\u003e\u003cp dir=\"ltr\"\u003eDevelop command-line applications and multi-threaded servers in Rust, focusing on efficient, safe, and concurrent processing of data.\u003c/p\u003e\u003c/li\u003e\n\u003cli\u003e\u003cp dir=\"ltr\"\u003eCreate practical projects, gaining hands-on experience in Rust for data engineering.\u003c/p\u003e\u003c/li\u003e\n\u003c/ul\u003e35e:T72d,\u003cp\u003eOrganizations need skilled, forward-thinking Big Data practitioners who can apply their business and tec"])</script><script>self.__next_f.push([1,"hnical skills to unstructured data such as tweets, posts, pictures, audio files, videos, sensor data, and satellite imagery, and more, to identify behaviors and preferences of prospects, clients, competitors, and others. ****\u003c/p\u003e\n\u003cp\u003eThis course introduces you to Big Data concepts and practices. You will understand the characteristics, features, benefits, limitations of Big Data and explore some of the Big Data processing tools. You'll explore how Hadoop, Hive, and Spark can help organizations overcome Big Data challenges and reap the rewards of its acquisition. \u003c/p\u003e\n\u003cp\u003eHadoop, an open-source framework, enables distributed processing of large data sets across clusters of computers using simple programming models. Each computer, or node, offers local computation and storage, allowing datasets to be processed faster and more efficiently. Hive, a data warehouse software, provides an SQL-like interface to efficiently query and manipulate large data sets in various databases and file systems that integrate with Hadoop.\u003c/p\u003e\n\u003cp\u003eOpen-source Apache Spark is a processing engine built around speed, ease of use, and analytics that provides users with newer ways to store and use big data.\u003c/p\u003e\n\u003cp\u003eYou will discover how to leverage Spark to deliver reliable insights. The course provides an overview of the platform, going into the different components that make up Apache Spark. In this course, you will also learn how Resilient Distributed Datasets, known as RDDs, enable parallel processing across the nodes of a Spark cluster.\u003c/p\u003e\n\u003cp\u003eYou'll gain practical skills when you learn how to analyze data in Spark using PySpark and Spark SQL and how to create a streaming analytics application using Spark Streaming, and more.\u003c/p\u003e35f:T582,\u003cp\u003e\u003cstrong\u003eThis course will be retired.\u003c/strong\u003e\u003c/p\u003e\r\n\u003cp\u003eHigh-quality information is the key to successful management of businesses. Despite the large quantity of data that is collected by organizations, managers struggle to obtain information that helps them make decisions. While \u003cem\u003eoperational processing\u003c"])</script><script>self.__next_f.push([1,"/em\u003e systems help capture, store, and manipulate data to support day-to-day operations of organizations, \u003cem\u003ereconciled systems\u003c/em\u003e -- sometimes referred to as data warehouses or business intelligence (BI) systems -- support the analysis of data, thus, enabling decision making.\u003c/p\u003e\r\n\u003cp\u003eWith the advent of big data systems, organizations have turned to enterprise data management frameworks to manage and gain insights from the vast amount of data collected. While storage costs themselves are relatively affordable, the bigger challenge has been finding an appropriate mechanism to manage the data as many technologies (e.g., relational databases, data warehouses) have limitations on the amount of data that can be stored.\u003c/p\u003e\r\n\u003cp\u003eThis course focuses on realizing the business advantage and business potential of operational, reconciled, and big data systems as well as data assets in supporting enterprise data management strategies and enterprise data analytics.\u003c/p\u003e\r\n\u003cp\u003eVerified Learners will need to purchase a textbook in order to successfully complete the course. See the FAQ for details.\u003c/p\u003e360:T671,\u003cp\u003eWith 25 million more project professionals being needed globally by 2030 (Project Management Institute), the demand for talented individuals with good underpinning IT knowledge is exploding. This Information Technology (IT) Fundamentals course is designed specifically for non-technical professionals who want to collaborate effectively with IT teams and make informed decisions. \u003c/p\u003e\n\u003cp\u003eIn this course, you'll learn the essentials of hardware, operating systems, and the foundational concepts of software, programming, and databases. You’ll explore how different types of hardware function, from printers to display devices, and how operating systems manage files and folders. Plus, you’ll discover the basics of software applications, web browsers, programming languages, and how databases store and manipulate data. \u003c/p\u003e\n\u003cp\u003eYou'll also gain an understanding of networking, including network topologies, cables, and how to manage"])</script><script>self.__next_f.push([1," network settings. You’ll learn about storage solutions, from local devices to hosted systems. Plus, you’ll be introduced to cybersecurity fundamentals, covering key concepts like data integrity, threat management, and safe browsing practices. \u003c/p\u003e\n\u003cp\u003eAs you learn, you’ll work on hands-on labs that enable you to apply your new skills in a practical setting. And you’ll test your knowledge with a comprehensive assessment and gain insights into troubleshooting and ticketing systems for IT support. \u003c/p\u003e\n\u003cp\u003eIf you’re a project-oriented professional looking to build a strong, non-technical understanding of IT for your job, ENROLL TODAY and build the job-ready IT skills you need in just 6 weeks.\u003c/p\u003e361:T437,\u003cp\u003eTransform your ability to build enterprise-grade AI applications using advanced Retrieval-Augmented Generation (RAG) techniques. This comprehensive course is designed for AI engineers, MLOps professionals, and software developers seeking to master LLM implementation. \u003c/p\u003e\n\u003cp\u003eKey Course Features:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eHands-on labs and practical exercises with real-world applications \u003c/li\u003e\n\u003cli\u003eDeep dive into embedding vectors and document processing strategies \u003c/li\u003e\n\u003cli\u003eAdvanced retrieval techniques including hybrid search and multimodal retrieval \u003c/li\u003e\n\u003cli\u003eInteractive weekly Q\u0026amp;A sessions with industry experts \u003c/li\u003e\n\u003cli\u003eLifetime access to course materials and video recordings \u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003ePerfect for:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eAI and MLOps engineers \u003c/li\u003e\n\u003cli\u003eSolutions architects \u003c/li\u003e\n\u003cli\u003eEnterprise architects \u003c/li\u003e\n\u003cli\u003eSoftware developers working with AI \u003c/li\u003e\n\u003cli\u003eTechnical professionals transitioning to AI development \u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003ePrerequisites:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eBasic understanding of AI/ML concepts \u003c/li\u003e\n\u003cli\u003eProgramming experience \u003c/li\u003e\n\u003cli\u003eFamiliarity with Python\u003c/li\u003e\n\u003c/ul\u003e362:T73e,\u003cp\u003eProcessing information is the hallmark of all modern organizations, which are increasingly digital: absorbing, processing and generating information is a key element of their business.\u003cbr /\u003e\nBeing able to interact flexibly and efficientl"])</script><script>self.__next_f.push([1,"y with the underlying data and software systems is an indispensable skill. Knowledge of the Unix shell and its command-line tools boosts the effectiveness and productivity of software developers, IT professionals, and data analysts.\u003c/p\u003e\n\u003cp\u003eThe Unix tools were designed, written, actively used and refined by the team that defined the modern computing landscape. They allow the performance of almost any imaginable computing task quickly and efficiently by judiciously combining key powerful concepts. The power of Unix tools for exploring, prototyping and implementing big data processing workflows, and software engineering tasks remains unmatched. Unix tools, running on hardware ranging from tiny IoT platforms to supercomputers, uniquely allow an interactive, explorative programming style, which is ideal for the efficient solution of many of the engineering and business analytics problems that we face every day.\u003c/p\u003e\n\u003cp\u003eThrough the use of Unix tools:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eSoftware developers can quickly explore and modify code, data, and tests.\u003c/li\u003e\n\u003cli\u003eIT professionals can scrutinize log files, network traces, performance figures, filesystems and the behavior of processes.\u003c/li\u003e\n\u003cli\u003eData analysts can extract, transform, filter, process, load, and summarize huge data sets.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eThe course is uniquely based on carefully-selected, interactive walk-through examples that demonstrate how each command operates in practice. The examples that we use involve problems that engineers and analysts face every day.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e_ ___ Class Central: Best Online Courses of the Year (2021 edition)\u003c/strong\u003e\u003c/p\u003e363:T687,\u003cp\u003eNow is a great time to launch a rewarding career in Information Technology (IT) support - no experience or degree is required to get started. The US Bureau of Labor Statistics forecasts a 9% growth in jobs through 2030, averaging 70,000 openings each year, and a medium salary of $58,000 annually for an entry-level Computer Support Specialist. With over 400,000 US job openings, Computer Tech Support Specialists are in h"])</script><script>self.__next_f.push([1,"igh demand.\u003c/p\u003e \r\n \r\n\u003cp\u003eIn this self-paced, certificate program for beginners, you will learn IT support and build competency in IT fundamentals topics, including hardware, operating systems, software, system administration, programming, databases, networking, cybersecurity, and cloud computing, as well as critical skills covered such as customer service and troubleshooting. Mastery of these skills is essential for IT Helpdesk Support and also provides multiple options to grow your career as they are required skills for many technology jobs, including Software Engineer, Data Analyst, and Data Scientist.\u003c/p\u003e\r\n \r\n\u003cp\u003eThis Professional Certificate program from IBM is built by experts to prepare you for an entry-level job in Technical Support. If you can dedicate a few hours per week, you can complete the program in 3 to 6 months. By the end of the program, you will be equipped with job-ready skills employers look for, whether you are just starting out your IT career or changing jobs.\u003c/p\u003e\r\n\r\n\u003cp\u003eWhen you successfully complete the program you’ll receive dual credentials, IBM Digital Badges for each course to help your profile stand out, as well as a Professional Certificate to showcase your job readiness to potential employers.\u003c/p\u003e364:T492,\u003cp\u003eMaintaining and updating software is an important activity for a Technical Support role. There are many types of software, and understanding software can be overpowering. This course introduces the fundamentals of software and how to manage software from an information technology (IT) perspective. You'll be introduced to various types of software, ranging from the operating system running on your mobile phone to the applications that run databases on your computer at work. You'll also learn about cloud computing, web browsers, software development, programming languages, and database fundamentals.\u003c/p\u003e\n\u003cp\u003eAfter completing this course, you will better understand software processes and gain confidence in using and securing software applications. You will also review installing and m"])</script><script>self.__next_f.push([1,"anaging web browsers, extensions, and plug-ins and keeping web browsers secure and updated.\u003c/p\u003e\n\u003cp\u003eAdditionally, you'll discover how cloud-based technologies help businesses create and deploy applications faster. This course provides several real-world inspired hands-on labs and activities to demonstrate your skills in programming with Python and working with a database.\u003c/p\u003e365:T605,\u003cp\u003eThis MIS course will cover supporting tech infrastructures (Cloud, Databases, Big Data), the MIS development/ procurement process, and the main integrated systems, ERPs, such as SAP®, Oracle® or Microsoft Dynamics Navision®, as well as their relationship with Business Process Redesign.\u003c/p\u003e\n\u003cp\u003eManagement Information Systems (MIS) are an integral part of today’s professional landscape. From customer relationship management (CRM) systems handling the day to day interactions with clients and prospects, to financial systems issuing invoices and paying bills, day to day working life is increasingly controlled by these systems that dictate what to do and how.\u003c/p\u003e\n\u003cp\u003eThis course will focus on what MIS are, how they influence your current or prospective jobs, why they impose specific - and sometimes seemingly absurd - operational procedures, and how to use this knowledge to your advantage in your professional life.\u003c/p\u003e\n\u003cp\u003eGrasping the key concepts in MIS does not need to be daunting. We will use real world examples to illustrate key concepts, and strive to strike a proper balance between clarity / amenity and conceptual soundness. Join us on this stimulating journey that will allow you to better understand and perform in your current or desired job. \u003c/p\u003e\n\u003cp\u003eThis course is also available in Spanish: \"\u003ca href=\"https://www.edx.org/es/course/introduccion-a-los-sistemas-de-informacion-gerencial-mis-una-guia-de-supervivencia\"\u003eIntroducción a los Sistemas de Información Gerencial (MIS): Una guía de supervivencia\u003c/a\u003e\".\u003c/p\u003e366:T79a,\u003cp\u003eThere are underlying fundamental principles and concepts that apply to all supply chains, which can be expres"])</script><script>self.__next_f.push([1,"sed in relatively straightforward models. However, to actually implement them across a real supply chain requires the use of technology across multiple systems. Supply chains have a long history of using technology to improve efficiency and effectiveness. The shear scale and scope of most supply chains require many distinct systems to interact with each other.\u003c/p\u003e\n\u003cp\u003eUnfortunately, technology is a moving target. It is constantly evolving and improving so that today's technology is outdated within a few years or months. Rather than focusing on a specific software system, this business and management course will focus on three aspects: fundamental concepts, core systems, and data analysis.\u003c/p\u003e\n\u003cp\u003eWe will start with the introduction of fundamental concepts that are used in all software tools. We will cover IT fundamentals, including project management and software processes, data modeling, UML, relational databases and SQL. We will also introduce Internet technologies, such as XML, web services, and service-oriented architectures. No prior programming experience required.\u003c/p\u003e\n\u003cp\u003eWe will then provide an overview of the main types of supply chain software including ERP, WMS, and TMS systems. We will describe their main functionality, how they work, how they are used, their architecture, data flows, and how they are organized into modules. We will also cover the software selection process and how software upgrade and implementation projects should be organized and managed.\u003c/p\u003e\n\u003cp\u003eFinally, we will dive into data analysis that is core to all large supply chains. We will introduce visualization and big data analysis techniques that are used in practice today.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eThis is an open enrollment course\u003c/strong\u003e , making it accessible for almost anyone, anywhere in the world to enroll and learn for free.\u003c/p\u003e367:T939,"])</script><script>self.__next_f.push([1,"\u003cp\u003e\u003cem\u003ePlease Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eWelcome to Data Engineering Basics. This course is designed to familiarize you with data engineering concepts, ecosystem, lifecycle, processes, and tools.\u003c/p\u003e\n\u003cp\u003eThe Data Engineering Ecosystem includes several different components. It includes data, data repositories, data integration platforms, data pipelines, different types of languages, and BI and Reporting tools. Data pipelines gather raw data from disparate data sources. Data repositories, such as relational and non-relational databases, data warehouses, data marts, data lakes, and big data stores, store and process this data. Data Integration Platforms combine data into a unified view for secure and easy access by data consumers. Data consumers use BI, reporting, and analytical tools on data so they can glean insights for better decision-making. You will learn about each of these components in this course.\u003c/p\u003e\n\u003cp\u003eA typical Data Engineering lifecycle includes architecting data platforms and designing data stores. It also includes the process of gathering, importing, wrangling, cleaning, querying, and analyzing data. Systems and workflows need to be monitored and finetuned for performance at optimal levels. In this course, you will learn about the architecture of data platforms and things you need to consider in order to design and select the right data store for your needs. You will also learn about the processes and tools a data engineer employs in order to gather, import, wrangle, clean, query, and analyze data.\u003c/p\u003e\n\u003cp\u003eThrough a series of hands-on labs, you will be guided to provision a data store on IBM cloud, prepare and load data into the data store, and perform some basic operations on data.\u003c/p\u003e\n\u003cp\u003eData Engineering is recognized as one of the fastest-growing fields today. The career opportunities available, and the different paths you can take to become a data engineer, are discussed in the course. Seasoned data professionals advice you on the practical and day-to-day aspects of being a data engineer and the skills and qualities employers look for in a data engineer.\u003c/p\u003e"])</script><script>self.__next_f.push([1,"368:T9dc,"])</script><script>self.__next_f.push([1,"\u003cp\u003eThree innovations are driving the data revolution in medicine. \u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eNext Generation Sequencing, and in particular, the ability to sequence individual genomes at diminishing costs.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eElectronic Medical Records, and our ability to mine, using machine learning techniques, huge datasets of medical records.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eWearable devices, the Web, social networks and crowdsourcing - exemplifying the surprising capacity to collect medical data using non-conventional resources.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eIn order to take advantage of these technologies and participate in the revolution, physicians need a new toolbox that is generally lacking in the medical school curriculum. \u003c/p\u003e\n\u003cp\u003eThis course is a product of a decade of a collaborative effort between researchers from the computational biology program at Bar-Ilan University, and clinicians from Sheba Medical Center to develop and deliver an extended curriculum in genomics and biomedical informatics. The program has been endorsed by the Israeli Medicine Association and Ministry of Health. Here, we present a condensed online course that includes selected topics chosen from the extended program. \u003c/p\u003e\n\u003cp\u003eThis GaBI course on edX presents clinicians and digital health enthusiasts with an overview of the data revolution in medicine, and how to take advantage of it for research and in the clinic. In the scope of this single course, you will not become a bioinformatician, but you will be able to familiarize yourself with the main concepts, tools, algorithms, and databases used in this field, and understand the types of problems that these analysis techniques can help address. \u003c/p\u003e\n\u003cp\u003eThe syllabus covers the main topics of this discipline in a logical order: \u003c/p\u003e\n\u003cp\u003e● Methods used to obtain medical data (genotypic and phenotypic) \u003c/p\u003e\n\u003cp\u003e● Analysis of biological molecules such as DNA, RNA, and proteins using various computational tools from the field of bioinformatics \u003c/p\u003e\n\u003cp\u003e● Use of machine learning and artificial intelligence tools to mine the huge databases of medical information accumulating in Electronic Medical Records (EMRs), the Web, and numerous data science projects in medicine \u003c/p\u003e\n\u003cp\u003e● Analysis of complex interaction networks between DNA, RNA and protein molecules to gain a more holistic and systematic view of biological systems and medical conditions \u003c/p\u003e\n\u003cp\u003e● Practical applications in the clinic and in personalized medicine research, and the use of cutting edge technology to improve health\u003c/p\u003e"])</script><script>self.__next_f.push([1,"369:T5b1,\u003cp\u003eArtificial Intelligence and Machine Learning have become central techniques for most services and products, ranging from web-based systems to medical procedures, self-driving cars – even intelligent coffee makers.\u003c/p\u003e\n\u003cp\u003eAlongside algorithms, data is central to AI applications. Without solid data management, AI projects typically underperform or even fail. Unfortunately, the relevance and complexity of handling data is frequently underestimated. \u003c/p\u003e\n\u003cp\u003eThat’s why we developed this course which covers foundational questions like “Why is data important to AI?” and “What data does AI need?” and covers more application-oriented topics and skills like how to extract, load and query data using an SQL pipeline.\u003c/p\u003e\n\u003cp\u003eIn the second part of the course, you will learn basic data engineering skills, including how to setup your Python notebook environment, explore data with advanced pandas functions, and create simple and clear data visualizations.\u003c/p\u003e\n\u003cp\u003eThis introductory course is targeted at learners with little experience in data management or Python-based data management who want to develop Python-based AI applications in the future. The course covers a brief introduction into data management for AI, relational data management (e.g., SQL), and practical data handling skills in Python, pandas, and Jupyter. \u003c/p\u003e\n\u003cp\u003eThis allows you to build a foundation to prepare for future AI and Machine Learning development with Python.\u003c/p\u003e36a:T518,\u003cp\u003e\u003cspan lang=\"EN-US\"\u003eKubernetes, maintained by the Cloud Native Computing Foundation , is a leading open source system for containerized workloads. Companies worldwide use Kubernetes to automate deployment, management, and scaling of container-based applications\u003c/span\u003e\u003cspan lang=\"EN-US\"\u003e. \u003c/span\u003e\u003cspan lang=\"EN-US\"\u003eWith companies continuing to adopt containerization, Kubernetes skills are highly in demand.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eThis project is ideal for new and seasoned application developers and DevOps professionals. By the end of this hands-on guided project, you will have"])</script><script>self.__next_f.push([1," gained practical Kubernetes experience that employers value. You’ll know how to create and deploy a container pod, be able to describe Kubernetes container management, and will have learned how Kubernetes handles load balancing. You will have developed a foundation in Database-as-a-Service (DBaaS) management and be familiar with common Kubernetes features and tools, such as the kubectl command line interface and imperative object configuration.\u003c/p\u003e\n\u003cp\u003eTo complete the project, you will be provided with a Cloud-based IDE that already has many technologies, such as Kubernetes and Docker, preinstalled. Also, note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.\u003c/p\u003e36b:T9e2,"])</script><script>self.__next_f.push([1,"In 1948, the Universal Declaration of Human Rights (UDHR) was promulgated, defining freedom of expression as the right \u0026ldquo;\u003cem\u003eto seek, receive and impart information and ideas through any media and regardless of frontiers.\u003c/em\u003e\u0026rdquo; The technology revolution of the last two decades has given the world the means to realize this commitment. Technology has shaped, reshaped, and radically transformed the production and distribution of information, profoundly impacting whole societies and greatly influencing, if not defining, information and communication. However, as the course will demonstrate, the foundation of a global protection of freedom of protection and information largely predates the IT revolution of the last decade.\u0026nbsp; This course will present and analyse the global norms that have emerged over time to enshrine the protection of freedom of expression and information, across and above national and regional differences. \u003cbr /\u003e\u003cbr /\u003eThe course is comprised of recorded lectures. Dr. Agnes Callamard, the \u003ca href=\"https://globalfreedomofexpression.columbia.edu/\"\u003eDirector of Columbia Global Freedom of Expression\u003c/a\u003e and the UN Special Rapporteur on Extrajudicial, Summary or Arbitrary Executions, who led the \u003ca href=\"https://www.ohchr.org/EN/Issues/Executions/Pages/Inquiry.aspx\"\u003ehuman rights investigation into the murder of Jamal Khashoggi\u003c/a\u003e, will deliver the lectures. Supplementary lectures by international experts will provide additional information on topics addressed by the main lectures or additional issues which could not be included in the core course.\u0026nbsp; Students will be actively invited to consult the supplementary videos to strengthen their knowledge. Weekly readings will be assigned from classic philosophical works on the concept of freedom of expression, key texts of international human rights law, significant decisions of international and national courts, as well as relevant news stories and video clips.\u0026nbsp; The course will provide access to case analyses from Columbia University's Global Case Law Database to illustrate the issues as well as for course assignments. \u0026nbsp;Most readings will be freely available on the Internet.\u003cbr /\u003e\u003cbr /\u003e\u003cem\u003eThis Foundational Course is to be followed by an Advanced Course which will focus on the complex, and often awkward, interplay of global information flows with national jurisdiction and state sovereignty, and what it means for the realization of a borderless vision for the right to freedom of expression.\u003cbr /\u003e\u003cbr /\u003e\u003c/em\u003e"])</script><script>self.__next_f.push([1,"36c:T566,\u003cp\u003e\u003cspan lang=\"EN-US\"\u003eKubernetes, maintained by the Cloud Native Computing Foundation , is a leading open source system for containerized workloads. Companies worldwide use Kubernetes to automate deployment, management, and scaling of container-based applications\u003c/span\u003e\u003cspan lang=\"EN-US\"\u003e. \u003c/span\u003e\u003cspan lang=\"EN-US\"\u003eWith companies continuing to adopt containerization, Kubernetes skills are highly in demand.\u003c/span\u003e\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eThis project is ideal for new and seasoned application developers and DevOps professionals. By the end of this hands-on guided project, you will have gained practical Kubernetes experience that employers value. You’ll know how to create and deploy a container pod, be able to describe Kubernetes container management, and will have learned how Kubernetes handles load balancing. You will have developed a foundation in Database-as-a-Service (DBaaS) management and be familiar with common Kubernetes features and tools, such as the kubectl command line interface and imperative object configuration.\u003cspan lang=\"EN-US\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eTo complete the project, you will be provided with a Cloud-based IDE that already has many technologies, such as Kubernetes and Docker, preinstalled. Also, note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.\u003c/p\u003e36d:T734,\u003cp\u003eThis introductory program is designed to give business professionals the basic background on Information Technology (IT) to let them get the most in their interaction with IT professionals, either from their company or from external corporation, as they will have a deeper understanding when identifying requirements, evaluating workloads or supervising results in the IT field.\u003c/p\u003e\r\n\r\n\u003cp\u003eThrough this program, you will learn the basic concepts of information systems and their application, and gain familiarity with the terminology used within the IT field.\u003c/p\u003e\r\n\r\nThis program covers the following topic areas:\r\n\u003cul\u003e\r\n\u003cli\u003e\u003cstrong\u003eInformation S"])</script><script>self.__next_f.push([1,"ystems and Office Application Software in Organizations:\u003c/strong\u003e\r\nStandard office suite tools, office systems (email, conferencing, etc...), basics of desktop operating systems. Internet, web browsers, Electronic Data Interchange and enterprise wide systems.\u003c/li\u003e\r\n\r\n\u003cli\u003e\u003cstrong\u003eHardware and Systems Technology:\u003c/strong\u003e\r\nComputers and their components, data representation and processing. Computer networks, client/server architecture, operating systems architecture and wireless computing.\u003c/li\u003e\r\n\r\n\u003cli\u003e\u003cstrong\u003eInformation Systems Software Development:\u003c/strong\u003e\r\nSoftware development, systems development, information processing, user interface design and standards, software project management.\u003c/li\u003e\r\n\r\n\u003cli\u003e\u003cstrong\u003eProgramming Concepts and Data Management:\u003c/strong\u003e\r\nProgramming languages and logic, object oriented methods, data types and structures, file types, databases, SQL. Web technologies and development, data warehousing and data mining.\u003c/li\u003e\r\n\r\n\u003cli\u003e\u003cstrong\u003eBusiness, Social, and Ethical Implications and Issues:\u003c/strong\u003e\r\nEconomic effects, business strategies, privacy concerns, security threats and controls, intellectual property and careers in information technology.\u003c/li\u003e\r\n\u003c/ul\u003e36e:Ta64,"])</script><script>self.__next_f.push([1,"\u003cp\u003eWhat you will learn:\u003c/p\u003e\n\u003cp\u003eThe Blockchain 101 Certificate comprises of two parts, which are made up of three macro-modules, aligned with the esteemed Charterholder programs offered by DEC Institute (exam syllabus, study booklet, practice questions and tests). These 3 macro-modules consist of the following modules\u003c/p\u003e\n\u003cp\u003eTECHNOLOGY:\u003c/p\u003e\n\u003cp\u003eIn this section, we explore the following topics, including Blockchain History, Blockchain Principles, Databases, Ledgers \u0026amp; DLTs, Cryptography, Consensus Mechanisms, Blockchain Architectures, Distributed File Systems, Token Standards \u0026amp; Minting, Blockchain Technology Stack, Smart Contracts, Cryptocurrencies, Tokens, Blockchain Protocols, Wallets and Custody, Privacy, Scalability, Interoperability, Decentralized Applications, Decentralized Autonomous Organization, Oracles, and Attacks.\u003c/p\u003e\n\u003cp\u003eBUSINESS \u0026amp; ECONOMICS:\u003c/p\u003e\n\u003cp\u003eIn this section, we explore the following topics, including Blockchain and the Internet, Innovation, Disruption \u0026amp; Adoption Principles, Blockchain Ecosystems, Blockchain Economics, Tokenisation in Business, Digital Asset Business Models, Decentralized Applications in Business, Blockchain Governance in Business and DAOs, Blockchain and Sustainability, Application Areas in Traditional Financial Services, Decentralised Finance (DeFi), Application Areas in Non-Financial Service Sectors, Application Areas of Non-Fungible-Tokens (NFTs), Supply Chain and Self Sovereign Identity (SSI).\u003c/p\u003e\n\u003cp\u003eLEGAL \u0026amp; REGULATORY:\u003c/p\u003e\n\u003cp\u003eIn this section, we explore the following topics, including Legal and Regulatory Treatment of Cryptoassets, Legal \u0026amp; Regulatory Standing of Blockchain Technology, Legal Status of Smart Contracts, Challenges of Regulating DLT, Competition Law and Antitrust, Blockchain and Regtech and GDPR \u0026amp; Other Data Regulations.\u003c/p\u003e\n\u003cp\u003eAfter completing the Blockchain 101 Certificate, candidates interested to proceed with DEC’s professional development path, are invited to register for the \u003ca href=\"https://www.decinstitute.org/cba\" rel=\"noopener\" target=\"_blank\"\u003eCBA®️ Level 1\u003c/a\u003e examination at PearsonVUE through the website of \u003ca href=\"https://www.decinstitute.org/\" rel=\"noopener\" target=\"_blank\"\u003eDEC Institute\u003c/a\u003e, where they can download and study additional preparatory material (mandatory reading: Study Booklet CBA®️ Level 1), which will be required to successfully pass the examination and obtain the CBA®️ I professional designation and membership status at DEC. For experienced blockchain professionals, there is also the opportunity to earn the Level 2 charterholder status, unlocking addition career benefits and opportunities.\u003c/p\u003e"])</script><script>self.__next_f.push([1,"36f:T42b,\u003cp\u003e\u003cspan lang=\"EN\"\u003eDjango is a highly popular Python web framework designed for rapid and full-stack web app development. Many popular apps are built on Django, such as YouTube, Spotify, Dropbox, edX, and others.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eIdeal for new and seasoned web developers, in this hands-on guided project, you will gain practical experience with the Django web framework by building a movie recommendation app. You will learn how to describe the fundamentals of Django, download and run a Django template app, and load data into an SQLite Database. You will also learn how to use Django Admin and Django HTML templates. After completion, you will have a solid and practical understanding of how to use the Django web framework. You’ll develop hands-on skills that employers value.\u003c/p\u003e\n\u003cp\u003eTo complete this project, you will be provided with a Cloud-based IDE that already has many technologies, including Django, preinstalled, saving you the time and hassle of installation and setup. Also, note that this platform works best with current versions modern. browsers.\u003c/p\u003e370:Ta75,"])</script><script>self.__next_f.push([1,"\u003cp\u003e\u003cstrong\u003eWhat you will learn:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe Blockchain 101 Certificate comprises of two parts, which are made up of three macro-modules, aligned with the esteemed Charterholder programs offered by DEC Institute (exam syllabus, study booklet, practice questions and tests). These 3 macro-modules consist of the following modules\u003c/p\u003e\n\u003cp\u003eTECHNOLOGY:\u003c/p\u003e\n\u003cp\u003eIn this section, we explore the following topics, including Blockchain History, Blockchain Principles, Databases, Ledgers \u0026amp; DLTs, Cryptography, Consensus Mechanisms, Blockchain Architectures, Distributed File Systems, Token Standards \u0026amp; Minting, Blockchain Technology Stack, Smart Contracts, Cryptocurrencies, Tokens, Blockchain Protocols, Wallets and Custody, Privacy, Scalability, Interoperability, Decentralized Applications, Decentralized Autonomous Organization, Oracles, and Attacks.\u003c/p\u003e\n\u003cp\u003eBUSINESS \u0026amp; ECONOMICS:\u003c/p\u003e\n\u003cp\u003eIn this section, we explore the following topics, including Blockchain and the Internet, Innovation, Disruption \u0026amp; Adoption Principles, Blockchain Ecosystems, Blockchain Economics, Tokenisation in Business, Digital Asset Business Models, Decentralized Applications in Business, Blockchain Governance in Business and DAOs, Blockchain and Sustainability, Application Areas in Traditional Financial Services, Decentralised Finance (DeFi), Application Areas in Non-Financial Service Sectors, Application Areas of Non-Fungible-Tokens (NFTs), Supply Chain and Self Sovereign Identity (SSI).\u003c/p\u003e\n\u003cp\u003eLEGAL \u0026amp; REGULATORY:\u003c/p\u003e\n\u003cp\u003eIn this section, we explore the following topics, including Legal and Regulatory Treatment of Cryptoassets, Legal \u0026amp; Regulatory Standing of Blockchain Technology, Legal Status of Smart Contracts, Challenges of Regulating DLT, Competition Law and Antitrust, Blockchain and Regtech and GDPR \u0026amp; Other Data Regulations.\u003c/p\u003e\n\u003cp\u003eAfter completing the Blockchain 101 Certificate, candidates interested to proceed with DEC’s professional development path, are invited to register for the \u003ca href=\"https://www.decinstitute.org/cba\" rel=\"noopener\" target=\"_blank\"\u003eCBA®️ Level 1\u003c/a\u003e examination at PearsonVUE through the website of \u003ca href=\"https://www.decinstitute.org/\" rel=\"noopener\" target=\"_blank\"\u003eDEC Institute\u003c/a\u003e, where they can download and study additional preparatory material (mandatory reading: Study Booklet CBA®️ Level 1), which will be required to successfully pass the examination and obtain the CBA®️ I professional designation and membership status at DEC. For experienced blockchain professionals, there is also the opportunity to earn the Level 2 charterholder status, unlocking addition career benefits and opportunities.\u003c/p\u003e"])</script><script>self.__next_f.push([1,"371:T682,\u003cp\u003e\u003cem\u003ePlease Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThis course introduces you to the IBM Cloud. You will learn about the many offerings and services on IBM Cloud that make it the most open and secure public cloud for developers and enterprises.\u003c/p\u003e\n\u003cp\u003eThe course begins with an introduction to the IBM Cloud platform which covers topics such as data center locations and configuring identity and access management. You will discover the various Infrastructure-as-a-Service (IaaS) options available on IBM Cloud. Next, you will learn about the deployment options on IBM Cloud; this includes topics such as Containers, Kubernetes, and OpenShift. You will also become familiar with IBM Cloud services such as Databases, Artificial Intelligence and Watson, Blockchain, Internet of Things, and many others.\u003c/p\u003e\n\u003cp\u003eIn addition to videos, you will also see demos of various IBM Cloud features and services in action, as well as perform hands-on labs to gain practical experience with IBM Cloud at no charge.\u003c/p\u003e\n\u003cp\u003eThis course is of interest to anyone who wants to be a cloud practitioner and use Cloud skills as developers, architects, system engineers, network specialists, and many other roles. The material also serves the needs of those who perform the tasks of advising, building, moving, and managing cloud solutions. This course is also suitable for learners who want to prepare for IBM Cloud Foundations Certification.\u003c/p\u003e372:T488,\u003cp\u003e\u003cspan lang=\"EN\"\u003eDjango is a highly popular Python web framework designed for rapid and full-stack web app development. Many popular apps are built on Django, such as YouTube, Spotify, Dropbox, edX, and others.\u003c/span\u003e\u003cspan lang=\"EN\"\u003e\u003c/span\u003e\u003cspan lang=\"EN\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eIdeal for new and seasoned web developers, in this hands-on guided project, you will gain p"])</script><script>self.__next_f.push([1,"ractical experience with the Django web framework by building a movie recommendation app. You will learn how to describe the fundamentals of Django, download and run a Django template app, and load data into an SQLite Database. You will also learn how to use Django Admin and Django HTML templates. After completion, you will have a solid and practical understanding of how to use the Django web framework. You’ll develop hands-on skills that employers value. \u003cspan lang=\"EN\"\u003e\u003c/span\u003e\u003cspan lang=\"EN\"\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003eTo complete this project, you will be provided with a Cloud-based IDE that already has many technologies, including Django, preinstalled, saving you the time and hassle of installation and setup. Also, note that this platform works best with current versions modern. browsers.\u003c/p\u003e373:T91e,"])</script><script>self.__next_f.push([1,"\u003cp\u003eThe Cloud Native approach is redefining how applications are developed and deployed, allowing organizations to be more agile and responsive to their customers and changing market dynamics. Getting skilled in Cloud Computing and Cloud Native is crucial for aspiring cloud practitioners and professionals who want apply their cloud skills as developers, architects, system engineers, managers and many other roles.\u003c/p\u003e\r\n\r\n\u003cp\u003eIn this IBM Cloud Native Foundations Program you will start with an introduction to the core concepts of cloud computing and the role its playing in digital transformation. We introduce you to some of the prominent cloud service providers of our times including, Amazon Web Services (AWS), Google Cloud Platform (GCP), IBM Cloud, Microsoft Azure, etc.) the services they offer and look at some case studies of cloud computing across industry verticals. You will become familiar cloud technologies and cloud infrastructure components such as Virtualization, VMs, Containers, Microservices, Serverless Computing, Cloud Storage and Secure Cloud Networks.\r\nNext, discover cloud essentials using IBM Cloud. Become familiar with IBM Cloud and the various types of infrastructure, platform and software services it provides for Public, Private, and Hybrid cloud environments. You’ll then develop practical cloud skills for building and running Cloud Native applications within a multi-cloud environment. Finally learn why DevOps favors the use of containers and explore how containers differ from virtual machines. Complete your program with insights and hands-on experience with container technologies such as Docker, Kubernetes, OpenShift, and Istiowhich serve as the foundational building blocks of a Cloud Native architecture.\u003c/p\u003e\r\n\r\n\u003cp\u003eThis program does not require any degree or prior experience with cloud computing or programming. You’ll learn with the support of IBM experts, practice your skills with hands-on labs, and complete projects designed to sharpen your skills and help you build your shareable portfolio.\u003c/p\u003e\r\n\r\n\u003cp\u003eAfter completing Cloud Native Foundations program, apply your new skills to better designing, developing or managing your cloud environment, or share your portfolio that demonstrate your newly acquired the skills as you embark on one of the fastest growing career paths.\u003c/p\u003e"])</script><script>self.__next_f.push([1,"374:T520,\u003cp\u003eIn today’s data-driven landscape, proficiency in data analytics and visualization is indispensable for professionals across industries. These skills equip employees with the ability to meaningfully contribute to an organization’s insights by empowering them to make well-informed decisions and identify key trends. Data-driven insights can streamline operations by identifying bottlenecks, optimizing processes, and reducing inefficiencies.\u003c/p\u003e\r\n\r\n\u003cp\u003eData isn’t only about specific insights though. Looking at data sparks innovation and explores areas of untapped potential. Using a systematic approach to problem-solving, employees can more readily identify root causes of issues in order to enhance transparency and accountability. When decisions are based on data, employees understand the rationale behind choices and can take ownership of their roles.\u003c/p\u003e\r\n\r\n\u003cp\u003eThis self-paced, online certificate consists of four courses that position professionals to understand and present meaningful data. Each course features interactive videos to help you understand both the analytical concepts and the software utilized. You will apply the concepts taught using a separate data source in order to practice and gain the confidence necessary to connect, explore, and analyze data sources into the future.\u003c/p\u003e375:T9d5,"])</script><script>self.__next_f.push([1,"This course will focus on the multiple challenges to freedom of expression brought about by the technology revolution of the last two decades. On one hand, it has given the world the means to realize its commitment to freedom of information without frontiers. Technology has shaped, reshaped, and radically transformed the production and distribution of information, profoundly impacting whole societies and greatly influencing, if not defining, information and communication. On the other hand, it has also precipitated or heightened a range of normative, regulatory and political issues related to the protection of free speech, on and offline. This course will examine the complex, and often awkward, interplay of global information flows with national jurisdiction and state sovereignty, its effects on democracy and fundamental rights, and what it means for the realization of a borderless vision for the right to freedom of expression.\u003cbr /\u003e \u003cbr /\u003e The course is comprised of recorded lectures. Dr. Agnes Callamard, the Director of \u003ca href=\"https://globalfreedomofexpression.columbia.edu/\"\u003eColumbia Global Freedom of Expression\u003c/a\u003e and the UN Special Rapporteur on Extrajudicial, Summary or Arbitrary Executions, who led the \u003ca href=\"https://www.ohchr.org/EN/Issues/Executions/Pages/Inquiry.aspx\"\u003ehuman rights investigation into the murder of Jamal Khashoggi\u003c/a\u003e, will deliver the lectures. Supplementary lectures by international experts will provide additional information on topics addressed by the main lectures or additional issues which could not be included in the core course. Students will be actively invited to consult the supplementary videos to strengthen their knowledge. Weekly readings will be assigned from classic philosophical works on the concept of freedom of expression, key texts of international human rights law, significant decisions of international and national courts, as well as relevant news stories and video clips. The course will provide access to case analyses from Columbia University's Global Case Law Database to illustrate the issues as well as for course assignments. Most readings will be freely available on the Internet.\u003cbr /\u003e \u003cbr /\u003e This Advanced Course was preceded by a Foundational Course, which introduces the international system of protection for freedom of expression. Enrolling in the Foundational Course is recommended before undertaking this Advanced Course to those who are not familiar with international human rights law and freedom of expression issues."])</script><script>self.__next_f.push([1,"376:T506,The Blockchain 101 Professional Certificate comprises of two parts, which are made up of three macro-modules in each course, aligned with the Charterholder programs offered by DEC Institute.,These 3 macro-modules consist of the following modules. Please see complete list of modules on the respective course page.,TECHNOLOGY: Blockchain History, Blockchain Principles, Databases, Ledgers \u0026 DLTs, Cryptography, Consensus Mechanisms, Blockchain Architectures, Distributed File Systems, Token Standards \u0026 Minting, Blockchain Technology Stack, Smart Contracts, and more.,BUSINESS \u0026 ECONOMICS: Blockchain and the Internet, Innovation, Disruption \u0026 Adoption Principles, Blockchain Ecosystems, Blockchain Economics, Tokenisation in Business, Digital Asset Business Models, Decentralized Applications in Business, and more.,LEGAL / REGULATORY: Legal and Regulatory Treatment of Cryptoassets, Legal \u0026 Regulatory Standing of Blockchain Technology, Legal Status of Smart Contracts, Challenges of Regulating DLT, Competition Law and Antitrust, and more.,Upon completing the Blockchain 101 Certificate, candidates can register for the CBA®️ Level 1 exam at PearsonVUE via the DEC Institute website. Experienced professionals may also pursue Level 2 charterholder status for added career benefits.377:T410,\u003cp\u003eThe blockchain market has changed how organisations share and transact data, and individuals perceive data ownership and transparency towards suppliers. New corporate ecosystems and collaborations push innovators to experiment with new business models. At the same time, regulators define boundaries and frameworks for applying this new technology.\u003c/p\u003e\r\n\r\n\u003cp\u003eHowever, the industry lacks professionals with well-founded knowledge and experience to apply blockchain technology in the right context. The Blockchain 101 Certificate addresses this gap with a holistic certification programme developed with leading academic and industry players.\r\nThe Blockchain 101 Certificate has been designed for for professionals with backgrounds in enterpri"])</script><script>self.__next_f.push([1,"se, healthcare, public services, utilities and supply chain, in all functions and at all levels of responsibility. The Blockchain 101 Certificate is also accredited by \u003ca href=\"https://cpduk.co.uk/courses/dec-institute-cba13x-preparatory-course-for-cbaa-1\"\u003eThe CPD Certification Services\u003c/a\u003e.\u003c/p\u003e378:T4bc,\u003cp\u003eDiscover practical ways to critically appraise scientific literature, including the conduction and interpretation of systematic reviews and meta-analyses. Additionally, you will learn how to conduct literature searches using online academic databases, hear about economic evaluations, and understand how clinical practice guidelines are used to guide decision making. \u003c/p\u003e\n\u003cp\u003eThis course includes the following 11 lectures: \u003c/p\u003e\n\u003col\u003e\n\u003cli\u003eOverview of Systematic Reviews\u003c/li\u003e\n\u003cli\u003eFinding and Managing the Evidence from the Biomedical Literature\u003c/li\u003e\n\u003cli\u003eIntervention Reviews Methodology\u003c/li\u003e\n\u003cli\u003eMeta-Analysis of Clinical Trials: Direct Comparisons\u003c/li\u003e\n\u003cli\u003eIntroduction to Meta-Analysis: Indirect Comparisons\u003c/li\u003e\n\u003cli\u003eMeta-Analysis of Non-Randomized Studies\u003c/li\u003e\n\u003cli\u003eDiagnostic Test Evaluation\u003c/li\u003e\n\u003cli\u003eMeta-Synthesis\u003c/li\u003e\n\u003cli\u003eClinical Practice Guidelines\u003c/li\u003e\n\u003cli\u003eEconomic Evaluation\u003c/li\u003e\n\u003cli\u003eDecision Analysis for Outcomes Research\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003eThis course is intended for anyone interested in comparative effectiveness research (CER) and patient-centered outcomes research (PCOR) methods. \u003c/p\u003e\n\u003cp\u003eThis course is supported by grant number R25HS023214 from the Agency for Healthcare Research and Quality.\u003c/p\u003e379:T92a,"])</script><script>self.__next_f.push([1,"\u003cp\u003eChampions of digital transformation have many data technologies to choose from:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eArtificial intelligence\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eMachine learning\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eCloud computing\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eDigitization\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003ePredictive analytics\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eInternet of Things\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eDeep learning\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eAs a business leader, you may be asking yourself, what’s next? R? Python? Graph Databases? The latest data analytics technology that was launched last week?\u003c/p\u003e\n\u003cp\u003eHow do you craft an effective digital strategy from these technologies? How do you build the data transformation roadmap to give your organization a competitive advantage? How will you digitally transform your organization to give the best customer experience?\u003c/p\u003e\n\u003cp\u003eIn this course, we will explore three case studies to learn the practical tools and methods used to build a digital organization. The first course gave you the theory of the dynamic capabilities, fitness landscapes, and strategic foresight framework to transform an organization. Now, we will put those theories to use in three types of organizations.\u003c/p\u003e\n\u003cp\u003eThe first organizational type is a new startup. You will learn how to build a digital organization from the ground up using the lean startup methodology. \u003c/p\u003e\n\u003cp\u003eThe second organizational type is an established organization. This type of organization has developed processes and deep-rooted culture. The challenge is to help the organization digitally transform while retaining the best aspects of the organization.\u003c/p\u003e\n\u003cp\u003eThe third organizational type is the organization that turns to digital transformation to help save it. This may be the most challenging digital transformation effort because you need to regain customer trust under a tight deadline while your competitors are eager to capture your customers.\u003c/p\u003e\n\u003cp\u003eFor all three digital transformations, we will use Disciplined Agile Delivery to plan and execute the organizational change programs. \"\u003ca href=\"https://www.pmi.org/disciplined-agile/process/introduction-to-dad\"\u003eDisciplined Agile Delivery (DAD) is a people-first, learning-oriented hybrid agile approach to IT solution delivery. It has a risk-value delivery lifecycle, is goal-driven, is enterprise aware, and is scalable\u003c/a\u003e.\" DAD is ideal for digital transformation projects.\u003c/p\u003e"])</script><script>self.__next_f.push([1,"37a:T7ac,Cleveland State University partners with world-class hospitals, Fortune 500 companies, government research centers, and cultural institutions to give its students academic, research, and job opportunities. With more than 175+ undergraduate degrees to choose from, Cleveland State Global students are prepared to succeed in the global workforce.\n-An undergraduate degree in Information Systems teaches students how to design, develop, and manage information systems that support business processes and decision-making.\n-Students learn about the principles of project management, including planning, scheduling, and budgeting.\n-They study the analysis and design of information systems, using techniques such as data modeling and process mapping.\n-Information Systems students learn about databases, including design, implementation, and management of database systems.\n-They study enterprise resource planning (ERP) systems, which integrate business processes and functions across different departments and areas of an organization.\n-Students learn about the principles of data analytics, including data mining, machine learning, and statistical analysis, and their applications in business decision-making.\n-They also learn about the legal and ethical issues surrounding the use of information systems in organizations, including privacy, security, and intellectual property.\n-An undergraduate degree in Information Systems teaches students how to communicate technical information to non-technical stakeholders, including writing technical reports and giving presentations.\n-Students learn about emerging technologies and their potential impact on organizations and society, preparing them to be innovative and responsible technology professionals.\n-Finally, Information Systems students develop skills in teamwork and collaboration, as well as leadership and management, to prepare them for careers in various fields such as business, healthcare, and government.37b:T80d,"])</script><script>self.__next_f.push([1,"The University of Utah is located on a picturesque campus in Salt Lake City. Utah creates global leaders by placing a strong emphasis on entrepreneurship, innovation, and quality of life. The Utah College of Engineering - ranked #61 in Undergraduate Engineering by U.S. News \u0026 World Report (2020) - prepares students to improve the productivity, health, safety, and enjoyment of human life through leading-edge research and tech development.\n-An undergraduate degree in Information Systems teaches students how to design, develop, and manage information systems that support business processes and decision-making.\n-Students learn about the principles of project management, including planning, scheduling, and budgeting.\n-They study the analysis and design of information systems, using techniques such as data modeling and process mapping.\n-Information Systems students learn about databases, including design, implementation, and management of database systems.\n-They study enterprise resource planning (ERP) systems, which integrate business processes and functions across different departments and areas of an organization.\n-Students learn about the principles of data analytics, including data mining, machine learning, and statistical analysis, and their applications in business decision-making.\n-They also learn about the legal and ethical issues surrounding the use of information systems in organizations, including privacy, security, and intellectual property.\n-An undergraduate degree in Information Systems teaches students how to communicate technical information to non-technical stakeholders, including writing technical reports and giving presentations.\n-Students learn about emerging technologies and their potential impact on organizations and society, preparing them to be innovative and responsible technology professionals.\n-Finally, Information Systems students develop skills in teamwork and collaboration, as well as leadership and management, to prepare them for careers in various fields such as business, healthcare, and government."])</script><script>self.__next_f.push([1,"37c:T740,- #147 National Universities - U.S. News \u0026 World Report, 2019\n- A true campus experience just minutes from the cultural and financial capital of the world\n- 240+ major companies recruit on campus Apple, IBM, AIG, Pepsi and Merrill Lynch\n-An undergraduate degree in Information Systems teaches students how to design, develop, and manage information systems that support business processes and decision-making.\n-Students learn about the principles of project management, including planning, scheduling, and budgeting.\n-They study the analysis and design of information systems, using techniques such as data modeling and process mapping.\n-Information Systems students learn about databases, including design, implementation, and management of database systems.\n-They study enterprise resource planning (ERP) systems, which integrate business processes and functions across different departments and areas of an organization.\n-Students learn about the principles of data analytics, including data mining, machine learning, and statistical analysis, and their applications in business decision-making.\n-They also learn about the legal and ethical issues surrounding the use of information systems in organizations, including privacy, security, and intellectual property.\n-An undergraduate degree in Information Systems teaches students how to communicate technical information to non-technical stakeholders, including writing technical reports and giving presentations.\n-Students learn about emerging technologies and their potential impact on organizations and society, preparing them to be innovative and responsible technology professionals.\n-Finally, Information Systems students develop skills in teamwork and collaboration, as well as leadership and management, to prepare them for careers in various fields such as business, healthcare, and government.37d:Ta08,"])</script><script>self.__next_f.push([1,"Louisiana State University is a Top 100 Public University with a dedicated focus on student involvement, research opportunities, and experiential learning. With more than 330 fields of study and 70 majors, LSU offers students opportunities for hands-on experience working alongside world-class faculty. Top-ranked and popular programs include business, engineering, petroleum engineering, and STEM.\n-In an undergraduate computer science degree, students learn programming, software engineering, computer organization, databases, computer networks, artificial intelligence, and mathematics. The program includes lectures, lab work, and projects.\n-Programming languages: Students learn to write code in various programming languages, such as Java, Python, and C++, and to apply programming constructs such as loops, functions, and conditionals to solve problems.\n-Data structures and algorithms: Students learn how to represent and manipulate data efficiently using structures such as arrays, lists, stacks, queues, and trees, and how to design and analyze algorithms for searching, sorting, and graph traversal.\n-Software engineering principles: Students learn how to apply principles of software engineering, such as design patterns, testing, and version control, to build maintainable and scalable software systems.\n-Computer organization and architecture: Students learn how computers work at a low level, including topics such as digital logic, instruction set architecture, and memory hierarchy.\n-Operating systems: Students learn about the design and implementation of operating systems, including topics such as process management, memory management, and file systems.\n-Databases: Students learn how to design and use databases to store, manipulate, and retrieve data using query languages such as SQL and to work with different database management systems such as MySQL and Oracle.\n-Computer networks: Students learn how to design and manage computer networks, including topics such as TCP/IP, routing, and network security.\n-Artificial intelligence: Students learn about the principles and applications of artificial intelligence, including machine learning, natural language processing, and computer vision.\n-Mathematics: Students learn mathematical concepts and methods that are foundational to computer science, such as discrete mathematics, calculus, and linear algebra.\n-Web development: Students learn how to design and develop web applications using languages and tools such as HTML, CSS, JavaScript, and web frameworks such as Django and Ruby on Rails."])</script><script>self.__next_f.push([1,"37e:T966,"])</script><script>self.__next_f.push([1,"- #147 National Universities - U.S. News \u0026 World Report, 2019\n- A true campus experience just minutes from the cultural and financial capital of the world\n- 240+ major companies recruit on campus Apple, IBM, AIG, Pepsi and Merrill Lynch\n-In an undergraduate computer science degree, students learn programming, software engineering, computer organization, databases, computer networks, artificial intelligence, and mathematics. The program includes lectures, lab work, and projects.\n-Programming languages: Students learn to write code in various programming languages, such as Java, Python, and C++, and to apply programming constructs such as loops, functions, and conditionals to solve problems.\n-Data structures and algorithms: Students learn how to represent and manipulate data efficiently using structures such as arrays, lists, stacks, queues, and trees, and how to design and analyze algorithms for searching, sorting, and graph traversal.\n-Software engineering principles: Students learn how to apply principles of software engineering, such as design patterns, testing, and version control, to build maintainable and scalable software systems.\n-Computer organization and architecture: Students learn how computers work at a low level, including topics such as digital logic, instruction set architecture, and memory hierarchy.\n-Operating systems: Students learn about the design and implementation of operating systems, including topics such as process management, memory management, and file systems.\n-Databases: Students learn how to design and use databases to store, manipulate, and retrieve data using query languages such as SQL and to work with different database management systems such as MySQL and Oracle.\n-Computer networks: Students learn how to design and manage computer networks, including topics such as TCP/IP, routing, and network security.\n-Artificial intelligence: Students learn about the principles and applications of artificial intelligence, including machine learning, natural language processing, and computer vision.\n-Mathematics: Students learn mathematical concepts and methods that are foundational to computer science, such as discrete mathematics, calculus, and linear algebra.\n-Web development: Students learn how to design and develop web applications using languages and tools such as HTML, CSS, JavaScript, and web frameworks such as Django and Ruby on Rails."])</script><script>self.__next_f.push([1,"37f:T9f5,"])</script><script>self.__next_f.push([1,"The University of Illinois Chicago provides a hands-on learning experience in a supportive, diverse environment. Located in downtown Chicago, UIC offers you the opportunity to live, learn, and excel in the third-largest city in the US. UIC’s top-ranked programs include engineering, business, architecture, design, education, health sciences, public health, and public affairs.\n-In an undergraduate computer science degree, students learn programming, software engineering, computer organization, databases, computer networks, artificial intelligence, and mathematics. The program includes lectures, lab work, and projects.\n-Programming languages: Students learn to write code in various programming languages, such as Java, Python, and C++, and to apply programming constructs such as loops, functions, and conditionals to solve problems.\n-Data structures and algorithms: Students learn how to represent and manipulate data efficiently using structures such as arrays, lists, stacks, queues, and trees, and how to design and analyze algorithms for searching, sorting, and graph traversal.\n-Software engineering principles: Students learn how to apply principles of software engineering, such as design patterns, testing, and version control, to build maintainable and scalable software systems.\n-Computer organization and architecture: Students learn how computers work at a low level, including topics such as digital logic, instruction set architecture, and memory hierarchy.\n-Operating systems: Students learn about the design and implementation of operating systems, including topics such as process management, memory management, and file systems.\n-Databases: Students learn how to design and use databases to store, manipulate, and retrieve data using query languages such as SQL and to work with different database management systems such as MySQL and Oracle.\n-Computer networks: Students learn how to design and manage computer networks, including topics such as TCP/IP, routing, and network security.\n-Artificial intelligence: Students learn about the principles and applications of artificial intelligence, including machine learning, natural language processing, and computer vision.\n-Mathematics: Students learn mathematical concepts and methods that are foundational to computer science, such as discrete mathematics, calculus, and linear algebra.\n-Web development: Students learn how to design and develop web applications using languages and tools such as HTML, CSS, JavaScript, and web frameworks such as Django and Ruby on Rails."])</script><script>self.__next_f.push([1,"380:Ta0b,"])</script><script>self.__next_f.push([1,"Gonzaga University’s humanistic heritage focuses on educating the mind, body, and spirit, and developing personal, academic, and professional growth through critical thought and creative innovation. Gonzaga University’s humanistic heritage focuses on educating the mind, body, and spirit, and developing personal, academic, and professional growth through critical thought and creative innovation.\n-In an undergraduate computer science degree, students learn programming, software engineering, computer organization, databases, computer networks, artificial intelligence, and mathematics. The program includes lectures, lab work, and projects.\n-Programming languages: Students learn to write code in various programming languages, such as Java, Python, and C++, and to apply programming constructs such as loops, functions, and conditionals to solve problems.\n-Data structures and algorithms: Students learn how to represent and manipulate data efficiently using structures such as arrays, lists, stacks, queues, and trees, and how to design and analyze algorithms for searching, sorting, and graph traversal.\n-Software engineering principles: Students learn how to apply principles of software engineering, such as design patterns, testing, and version control, to build maintainable and scalable software systems.\n-Computer organization and architecture: Students learn how computers work at a low level, including topics such as digital logic, instruction set architecture, and memory hierarchy.\n-Operating systems: Students learn about the design and implementation of operating systems, including topics such as process management, memory management, and file systems.\n-Databases: Students learn how to design and use databases to store, manipulate, and retrieve data using query languages such as SQL and to work with different database management systems such as MySQL and Oracle.\n-Computer networks: Students learn how to design and manage computer networks, including topics such as TCP/IP, routing, and network security.\n-Artificial intelligence: Students learn about the principles and applications of artificial intelligence, including machine learning, natural language processing, and computer vision.\n-Mathematics: Students learn mathematical concepts and methods that are foundational to computer science, such as discrete mathematics, calculus, and linear algebra.\n-Web development: Students learn how to design and develop web applications using languages and tools such as HTML, CSS, JavaScript, and web frameworks such as Django and Ruby on Rails."])</script><script>self.__next_f.push([1,"381:T9fa,"])</script><script>self.__next_f.push([1,"The University of South Carolina is a globally recognized, high-impact research university committed to a superior student experience and dedicated to innovation in learning, research, and community engagement. UofSC offers 350+ degree programs and is one of only 40 public universities to receive Carnegie Classifications for both top-tier research activity and community engagement.\n-In an undergraduate computer science degree, students learn programming, software engineering, computer organization, databases, computer networks, artificial intelligence, and mathematics. The program includes lectures, lab work, and projects.\n-Programming languages: Students learn to write code in various programming languages, such as Java, Python, and C++, and to apply programming constructs such as loops, functions, and conditionals to solve problems.\n-Data structures and algorithms: Students learn how to represent and manipulate data efficiently using structures such as arrays, lists, stacks, queues, and trees, and how to design and analyze algorithms for searching, sorting, and graph traversal.\n-Software engineering principles: Students learn how to apply principles of software engineering, such as design patterns, testing, and version control, to build maintainable and scalable software systems.\n-Computer organization and architecture: Students learn how computers work at a low level, including topics such as digital logic, instruction set architecture, and memory hierarchy.\n-Operating systems: Students learn about the design and implementation of operating systems, including topics such as process management, memory management, and file systems.\n-Databases: Students learn how to design and use databases to store, manipulate, and retrieve data using query languages such as SQL and to work with different database management systems such as MySQL and Oracle.\n-Computer networks: Students learn how to design and manage computer networks, including topics such as TCP/IP, routing, and network security.\n-Artificial intelligence: Students learn about the principles and applications of artificial intelligence, including machine learning, natural language processing, and computer vision.\n-Mathematics: Students learn mathematical concepts and methods that are foundational to computer science, such as discrete mathematics, calculus, and linear algebra.\n-Web development: Students learn how to design and develop web applications using languages and tools such as HTML, CSS, JavaScript, and web frameworks such as Django and Ruby on Rails."])</script><script>self.__next_f.push([1,"382:Tb2b,"])</script><script>self.__next_f.push([1,"Western New England University offers a hands-on and personalized educational experience, with small class sizes and nurturing faculty. The 215-acre campus offers a vibrant community where students can explore cutting-edge research, entrepreneurial prospects, and creative pursuits, all while building a wide professional network. With degree programs in high-demand fields such as engineering, health, pharmaceuticals, and business, Western New England University prepares students to get started on their career journey. Learn from industry professionals as you develop key skills and gain in-depth knowledge that will help you stand out to employers in the US, or anywhere in the world.\n-In an undergraduate computer science degree, students learn programming, software engineering, computer organization, databases, computer networks, artificial intelligence, and mathematics. The program includes lectures, lab work, and projects.\n-Programming languages: Students learn to write code in various programming languages, such as Java, Python, and C++, and to apply programming constructs such as loops, functions, and conditionals to solve problems.\n-Data structures and algorithms: Students learn how to represent and manipulate data efficiently using structures such as arrays, lists, stacks, queues, and trees, and how to design and analyze algorithms for searching, sorting, and graph traversal.\n-Software engineering principles: Students learn how to apply principles of software engineering, such as design patterns, testing, and version control, to build maintainable and scalable software systems.\n-Computer organization and architecture: Students learn how computers work at a low level, including topics such as digital logic, instruction set architecture, and memory hierarchy.\n-Operating systems: Students learn about the design and implementation of operating systems, including topics such as process management, memory management, and file systems.\n-Databases: Students learn how to design and use databases to store, manipulate, and retrieve data using query languages such as SQL and to work with different database management systems such as MySQL and Oracle.\n-Computer networks: Students learn how to design and manage computer networks, including topics such as TCP/IP, routing, and network security.\n-Artificial intelligence: Students learn about the principles and applications of artificial intelligence, including machine learning, natural language processing, and computer vision.\n-Mathematics: Students learn mathematical concepts and methods that are foundational to computer science, such as discrete mathematics, calculus, and linear algebra.\n-Web development: Students learn how to design and develop web applications using languages and tools such as HTML, CSS, JavaScript, and web frameworks such as Django and Ruby on Rails."])</script><script>self.__next_f.push([1,"383:T99c,"])</script><script>self.__next_f.push([1,"The University of Kansas is a top-tier public research university with a commitment to a research-focused academic curriculum and career support. At KU, you can choose from over 190 fields of study, including top-ranked business, engineering, pharmacy, education, and architecture programs.\n-In an undergraduate computer science degree, students learn programming, software engineering, computer organization, databases, computer networks, artificial intelligence, and mathematics. The program includes lectures, lab work, and projects.\n-Programming languages: Students learn to write code in various programming languages, such as Java, Python, and C++, and to apply programming constructs such as loops, functions, and conditionals to solve problems.\n-Data structures and algorithms: Students learn how to represent and manipulate data efficiently using structures such as arrays, lists, stacks, queues, and trees, and how to design and analyze algorithms for searching, sorting, and graph traversal.\n-Software engineering principles: Students learn how to apply principles of software engineering, such as design patterns, testing, and version control, to build maintainable and scalable software systems.\n-Computer organization and architecture: Students learn how computers work at a low level, including topics such as digital logic, instruction set architecture, and memory hierarchy.\n-Operating systems: Students learn about the design and implementation of operating systems, including topics such as process management, memory management, and file systems.\n-Databases: Students learn how to design and use databases to store, manipulate, and retrieve data using query languages such as SQL and to work with different database management systems such as MySQL and Oracle.\n-Computer networks: Students learn how to design and manage computer networks, including topics such as TCP/IP, routing, and network security.\n-Artificial intelligence: Students learn about the principles and applications of artificial intelligence, including machine learning, natural language processing, and computer vision.\n-Mathematics: Students learn mathematical concepts and methods that are foundational to computer science, such as discrete mathematics, calculus, and linear algebra.\n-Web development: Students learn how to design and develop web applications using languages and tools such as HTML, CSS, JavaScript, and web frameworks such as Django and Ruby on Rails."])</script><script>self.__next_f.push([1,"384:T9d9,"])</script><script>self.__next_f.push([1,"Auburn University prepares you for success with its prestigious academic programs, emphasis on hands-on learning experiences, and family spirit. Auburn University offers more than 150 undergraduate degrees, including top-ranked programs in engineering, business, supply chain management, journalism, architecture and design, and fisheries/aquaculture.\n-In an undergraduate computer science degree, students learn programming, software engineering, computer organization, databases, computer networks, artificial intelligence, and mathematics. The program includes lectures, lab work, and projects.\n-Programming languages: Students learn to write code in various programming languages, such as Java, Python, and C++, and to apply programming constructs such as loops, functions, and conditionals to solve problems.\n-Data structures and algorithms: Students learn how to represent and manipulate data efficiently using structures such as arrays, lists, stacks, queues, and trees, and how to design and analyze algorithms for searching, sorting, and graph traversal.\n-Software engineering principles: Students learn how to apply principles of software engineering, such as design patterns, testing, and version control, to build maintainable and scalable software systems.\n-Computer organization and architecture: Students learn how computers work at a low level, including topics such as digital logic, instruction set architecture, and memory hierarchy.\n-Operating systems: Students learn about the design and implementation of operating systems, including topics such as process management, memory management, and file systems.\n-Databases: Students learn how to design and use databases to store, manipulate, and retrieve data using query languages such as SQL and to work with different database management systems such as MySQL and Oracle.\n-Computer networks: Students learn how to design and manage computer networks, including topics such as TCP/IP, routing, and network security.\n-Artificial intelligence: Students learn about the principles and applications of artificial intelligence, including machine learning, natural language processing, and computer vision.\n-Mathematics: Students learn mathematical concepts and methods that are foundational to computer science, such as discrete mathematics, calculus, and linear algebra.\n-Web development: Students learn how to design and develop web applications using languages and tools such as HTML, CSS, JavaScript, and web frameworks such as Django and Ruby on Rails."])</script><script>self.__next_f.push([1,"385:Ta37,"])</script><script>self.__next_f.push([1,"UMass Boston, located in America’s most celebrated college city, combines the resources of a major research university and the accessibility of a public institution. With 65+ courses of study and a prestigious Honors College, UMass Boston gives you access to career opportunities, research projects, and a strong alumni network. With 11% of the student body representing 140+ countries and speaking 60+ languages, UMass Boston is truly global.\n-In an undergraduate computer science degree, students learn programming, software engineering, computer organization, databases, computer networks, artificial intelligence, and mathematics. The program includes lectures, lab work, and projects.\n-Programming languages: Students learn to write code in various programming languages, such as Java, Python, and C++, and to apply programming constructs such as loops, functions, and conditionals to solve problems.\n-Data structures and algorithms: Students learn how to represent and manipulate data efficiently using structures such as arrays, lists, stacks, queues, and trees, and how to design and analyze algorithms for searching, sorting, and graph traversal.\n-Software engineering principles: Students learn how to apply principles of software engineering, such as design patterns, testing, and version control, to build maintainable and scalable software systems.\n-Computer organization and architecture: Students learn how computers work at a low level, including topics such as digital logic, instruction set architecture, and memory hierarchy.\n-Operating systems: Students learn about the design and implementation of operating systems, including topics such as process management, memory management, and file systems.\n-Databases: Students learn how to design and use databases to store, manipulate, and retrieve data using query languages such as SQL and to work with different database management systems such as MySQL and Oracle.\n-Computer networks: Students learn how to design and manage computer networks, including topics such as TCP/IP, routing, and network security.\n-Artificial intelligence: Students learn about the principles and applications of artificial intelligence, including machine learning, natural language processing, and computer vision.\n-Mathematics: Students learn mathematical concepts and methods that are foundational to computer science, such as discrete mathematics, calculus, and linear algebra.\n-Web development: Students learn how to design and develop web applications using languages and tools such as HTML, CSS, JavaScript, and web frameworks such as Django and Ruby on Rails."])</script><script>self.__next_f.push([1,"386:Ta33,"])</script><script>self.__next_f.push([1,"The University of Utah is located on a picturesque campus in Salt Lake City. Utah creates global leaders by placing a strong emphasis on entrepreneurship, innovation, and quality of life. The Utah College of Engineering - ranked #61 in Undergraduate Engineering by U.S. News \u0026 World Report (2020) - prepares students to improve the productivity, health, safety, and enjoyment of human life through leading-edge research and tech development.\n-In an undergraduate computer science degree, students learn programming, software engineering, computer organization, databases, computer networks, artificial intelligence, and mathematics. The program includes lectures, lab work, and projects.\n-Programming languages: Students learn to write code in various programming languages, such as Java, Python, and C++, and to apply programming constructs such as loops, functions, and conditionals to solve problems.\n-Data structures and algorithms: Students learn how to represent and manipulate data efficiently using structures such as arrays, lists, stacks, queues, and trees, and how to design and analyze algorithms for searching, sorting, and graph traversal.\n-Software engineering principles: Students learn how to apply principles of software engineering, such as design patterns, testing, and version control, to build maintainable and scalable software systems.\n-Computer organization and architecture: Students learn how computers work at a low level, including topics such as digital logic, instruction set architecture, and memory hierarchy.\n-Operating systems: Students learn about the design and implementation of operating systems, including topics such as process management, memory management, and file systems.\n-Databases: Students learn how to design and use databases to store, manipulate, and retrieve data using query languages such as SQL and to work with different database management systems such as MySQL and Oracle.\n-Computer networks: Students learn how to design and manage computer networks, including topics such as TCP/IP, routing, and network security.\n-Artificial intelligence: Students learn about the principles and applications of artificial intelligence, including machine learning, natural language processing, and computer vision.\n-Mathematics: Students learn mathematical concepts and methods that are foundational to computer science, such as discrete mathematics, calculus, and linear algebra.\n-Web development: Students learn how to design and develop web applications using languages and tools such as HTML, CSS, JavaScript, and web frameworks such as Django and Ruby on Rails."])</script><script>self.__next_f.push([1,"387:T945,"])</script><script>self.__next_f.push([1,"- #78 National Universities - U.S. News \u0026 World Report, 2019\n- #5 Best U.S. Cities for Jobs - Fortune, 2018\n- Create meaningful change in America’s vibrant political, historical \u0026 cultural capital city\n-In an undergraduate computer science degree, students learn programming, software engineering, computer organization, databases, computer networks, artificial intelligence, and mathematics. The program includes lectures, lab work, and projects.\n-Programming languages: Students learn to write code in various programming languages, such as Java, Python, and C++, and to apply programming constructs such as loops, functions, and conditionals to solve problems.\n-Data structures and algorithms: Students learn how to represent and manipulate data efficiently using structures such as arrays, lists, stacks, queues, and trees, and how to design and analyze algorithms for searching, sorting, and graph traversal.\n-Software engineering principles: Students learn how to apply principles of software engineering, such as design patterns, testing, and version control, to build maintainable and scalable software systems.\n-Computer organization and architecture: Students learn how computers work at a low level, including topics such as digital logic, instruction set architecture, and memory hierarchy.\n-Operating systems: Students learn about the design and implementation of operating systems, including topics such as process management, memory management, and file systems.\n-Databases: Students learn how to design and use databases to store, manipulate, and retrieve data using query languages such as SQL and to work with different database management systems such as MySQL and Oracle.\n-Computer networks: Students learn how to design and manage computer networks, including topics such as TCP/IP, routing, and network security.\n-Artificial intelligence: Students learn about the principles and applications of artificial intelligence, including machine learning, natural language processing, and computer vision.\n-Mathematics: Students learn mathematical concepts and methods that are foundational to computer science, such as discrete mathematics, calculus, and linear algebra.\n-Web development: Students learn how to design and develop web applications using languages and tools such as HTML, CSS, JavaScript, and web frameworks such as Django and Ruby on Rails."])</script><script>self.__next_f.push([1,"388:T9d2,"])</script><script>self.__next_f.push([1,"Cleveland State University partners with world-class hospitals, Fortune 500 companies, government research centers, and cultural institutions to give its students academic, research, and job opportunities. With more than 175+ undergraduate degrees to choose from, Cleveland State Global students are prepared to succeed in the global workforce.\n-In an undergraduate computer science degree, students learn programming, software engineering, computer organization, databases, computer networks, artificial intelligence, and mathematics. The program includes lectures, lab work, and projects.\n-Programming languages: Students learn to write code in various programming languages, such as Java, Python, and C++, and to apply programming constructs such as loops, functions, and conditionals to solve problems.\n-Data structures and algorithms: Students learn how to represent and manipulate data efficiently using structures such as arrays, lists, stacks, queues, and trees, and how to design and analyze algorithms for searching, sorting, and graph traversal.\n-Software engineering principles: Students learn how to apply principles of software engineering, such as design patterns, testing, and version control, to build maintainable and scalable software systems.\n-Computer organization and architecture: Students learn how computers work at a low level, including topics such as digital logic, instruction set architecture, and memory hierarchy.\n-Operating systems: Students learn about the design and implementation of operating systems, including topics such as process management, memory management, and file systems.\n-Databases: Students learn how to design and use databases to store, manipulate, and retrieve data using query languages such as SQL and to work with different database management systems such as MySQL and Oracle.\n-Computer networks: Students learn how to design and manage computer networks, including topics such as TCP/IP, routing, and network security.\n-Artificial intelligence: Students learn about the principles and applications of artificial intelligence, including machine learning, natural language processing, and computer vision.\n-Mathematics: Students learn mathematical concepts and methods that are foundational to computer science, such as discrete mathematics, calculus, and linear algebra.\n-Web development: Students learn how to design and develop web applications using languages and tools such as HTML, CSS, JavaScript, and web frameworks such as Django and Ruby on Rails."])</script><script>self.__next_f.push([1,"389:Ta13,"])</script><script>self.__next_f.push([1,"The University of Dayton is a top-tier research university dedicated to academic excellence, community leadership, entrepreneurship, and creating a positive global impact. 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The program includes lectures, lab work, and projects.\n-Programming languages: Students learn to write code in various programming languages, such as Java, Python, and C++, and to apply programming constructs such as loops, functions, and conditionals to solve problems.\n-Data structures and algorithms: Students learn how to represent and manipulate data efficiently using structures such as arrays, lists, stacks, queues, and trees, and how to design and analyze algorithms for searching, sorting, and graph traversal.\n-Software engineering principles: Students learn how to apply principles of software engineering, such as design patterns, testing, and version control, to build maintainable and scalable software systems.\n-Computer organization and architecture: Students learn how computers work at a low level, including topics such as digital logic, instruction set architecture, and memory hierarchy.\n-Operating systems: Students learn about the design and implementation of operating systems, including topics such as process management, memory management, and file systems.\n-Databases: Students learn how to design and use databases to store, manipulate, and retrieve data using query languages such as SQL and to work with different database management systems such as MySQL and Oracle.\n-Computer networks: Students learn how to design and manage computer networks, including topics such as TCP/IP, routing, and network security.\n-Artificial intelligence: Students learn about the principles and applications of artificial intelligence, including machine learning, natural language processing, and computer vision.\n-Mathematics: Students learn mathematical concepts and methods that are foundational to computer science, such as discrete mathematics, calculus, and linear algebra.\n-Web development: Students learn how to design and develop web applications using languages and tools such as HTML, CSS, JavaScript, and web frameworks such as Django and Ruby on Rails."])</script><script>self.__next_f.push([1,"38a:T9ea,"])</script><script>self.__next_f.push([1,"Florida International University is one of the largest public research universities in the US. The FIU Global First Year program prepares you for academic, social, and professional success. Florida International University offers 110+ undergraduate programs. International business, hospitality, engineering, and criminal justice are among FIU’s top fields of study.\n-In an undergraduate computer science degree, students learn programming, software engineering, computer organization, databases, computer networks, artificial intelligence, and mathematics. The program includes lectures, lab work, and projects.\n-Programming languages: Students learn to write code in various programming languages, such as Java, Python, and C++, and to apply programming constructs such as loops, functions, and conditionals to solve problems.\n-Data structures and algorithms: Students learn how to represent and manipulate data efficiently using structures such as arrays, lists, stacks, queues, and trees, and how to design and analyze algorithms for searching, sorting, and graph traversal.\n-Software engineering principles: Students learn how to apply principles of software engineering, such as design patterns, testing, and version control, to build maintainable and scalable software systems.\n-Computer organization and architecture: Students learn how computers work at a low level, including topics such as digital logic, instruction set architecture, and memory hierarchy.\n-Operating systems: Students learn about the design and implementation of operating systems, including topics such as process management, memory management, and file systems.\n-Databases: Students learn how to design and use databases to store, manipulate, and retrieve data using query languages such as SQL and to work with different database management systems such as MySQL and Oracle.\n-Computer networks: Students learn how to design and manage computer networks, including topics such as TCP/IP, routing, and network security.\n-Artificial intelligence: Students learn about the principles and applications of artificial intelligence, including machine learning, natural language processing, and computer vision.\n-Mathematics: Students learn mathematical concepts and methods that are foundational to computer science, such as discrete mathematics, calculus, and linear algebra.\n-Web development: Students learn how to design and develop web applications using languages and tools such as HTML, CSS, JavaScript, and web frameworks such as Django and Ruby on Rails."])</script><script>self.__next_f.push([1,"38b:T9b2,"])</script><script>self.__next_f.push([1,"University of the Pacific's undergraduate programs are offered at the Stockton, California campus and offer world-class instruction in a supportive and challenging atmosphere. University of the Pacific offers 80+ undergraduate majors, small class sizes, a diverse campus experience, and internship opportunities.\n-In an undergraduate computer science degree, students learn programming, software engineering, computer organization, databases, computer networks, artificial intelligence, and mathematics. The program includes lectures, lab work, and projects.\n-Programming languages: Students learn to write code in various programming languages, such as Java, Python, and C++, and to apply programming constructs such as loops, functions, and conditionals to solve problems.\n-Data structures and algorithms: Students learn how to represent and manipulate data efficiently using structures such as arrays, lists, stacks, queues, and trees, and how to design and analyze algorithms for searching, sorting, and graph traversal.\n-Software engineering principles: Students learn how to apply principles of software engineering, such as design patterns, testing, and version control, to build maintainable and scalable software systems.\n-Computer organization and architecture: Students learn how computers work at a low level, including topics such as digital logic, instruction set architecture, and memory hierarchy.\n-Operating systems: Students learn about the design and implementation of operating systems, including topics such as process management, memory management, and file systems.\n-Databases: Students learn how to design and use databases to store, manipulate, and retrieve data using query languages such as SQL and to work with different database management systems such as MySQL and Oracle.\n-Computer networks: Students learn how to design and manage computer networks, including topics such as TCP/IP, routing, and network security.\n-Artificial intelligence: Students learn about the principles and applications of artificial intelligence, including machine learning, natural language processing, and computer vision.\n-Mathematics: Students learn mathematical concepts and methods that are foundational to computer science, such as discrete mathematics, calculus, and linear algebra.\n-Web development: Students learn how to design and develop web applications using languages and tools such as HTML, CSS, JavaScript, and web frameworks such as Django and Ruby on Rails."])</script><script>self.__next_f.push([1,"38c:T7c3,The University of South Carolina is a globally recognized, high-impact research university committed to a superior student experience and dedicated to innovation in learning, research, and community engagement. 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