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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%2F32ab61e5-44b4-4316-ad59-9f04fc876e0a-aeb25306d62b.small.jpg&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%2F32ab61e5-44b4-4316-ad59-9f04fc876e0a-aeb25306d62b.small.jpg&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%2F32ab61e5-44b4-4316-ad59-9f04fc876e0a-aeb25306d62b.small.jpg&w=96&q=75"/><div class="font-normal"><span class="text-sm lg:text-base block">Artificial Intelligence: Implications for Business Strategy</span><span class="text-xs lg:text-sm block">MIT Sloan School of Management | Executive Education</span></div></a></li><li class="m-0 px-3 py-2 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Learn how to become a data scientist with edX.</p><a href="#browse-online-data-science-programs-and-courses" target="_self" class="inline-flex items-center justify-center whitespace-nowrap rounded-md 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 bg-brand text-brand-foreground shadow border-2 border-brand hover:bg-white hover:text-brand-hover-foreground h-auto lg:h-10 px-4 text-base not-prose undefined"><span class="inline-flex gap-2 items-center justify-center break-words whitespace-normal">Browse online data science programs and courses</span></a></div></div><div class="hidden md:block relative mr-break-out"><img alt="How to become a data scientist" fetchPriority="high" decoding="async" data-nimg="fill" class="object-cover clip-slant-left" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="/_next/image?url=https%3A%2F%2Fimages.cdn.edx.org%2Fmeta521185-edX_data-scientist_1120x560.jpg&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fimages.cdn.edx.org%2Fmeta521185-edX_data-scientist_1120x560.jpg&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fimages.cdn.edx.org%2Fmeta521185-edX_data-scientist_1120x560.jpg&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fimages.cdn.edx.org%2Fmeta521185-edX_data-scientist_1120x560.jpg&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fimages.cdn.edx.org%2Fmeta521185-edX_data-scientist_1120x560.jpg&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fimages.cdn.edx.org%2Fmeta521185-edX_data-scientist_1120x560.jpg&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fimages.cdn.edx.org%2Fmeta521185-edX_data-scientist_1120x560.jpg&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fimages.cdn.edx.org%2Fmeta521185-edX_data-scientist_1120x560.jpg&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fimages.cdn.edx.org%2Fmeta521185-edX_data-scientist_1120x560.jpg&w=3840&q=75"/></div></div></div><div class="Default_content__HO8we"><div id=""><h2>What is a data scientist?</h2><p>According to the U.S. Bureau of Labor Statistics, a <a class="text-link underline" href="https://www.bls.gov/ooh/math/data-scientists.htm#tab-1">data scientist</a> is a professional who uses their expertise in mathematics, statistics, and computer science to understand patterns, identify trends, and extract insights from large and complex sets of data. They apply various techniques, algorithms, and programming skills to analyze and interpret data in order to solve complex problems, develop predictions, and make data-driven decisions. Common tasks and responsibilities of data scientists include: data collection and cleaning; data exploration and visualization; statistical analysis and modeling; model evaluation and optimization; and communication of results. They strive to make complex findings understandable and actionable.</p></div></div><div class="Default_content__HO8we"><div id=""><h3>Data scientist vs. data analyst</h3><p>Data scientists and <a class="text-link underline" href="https://www.cio.com/article/217583/what-is-a-data-analyst-a-key-role-for-data-driven-business-decisions.html">data analysts</a> can have many overlapping skills and responsibilities, depending on their employer. However, there are general distinctions between the two roles:</p><ul><li><p><b>Data scientists</b> are primarily focused on solving complex problems using data-driven approaches. They work on exploratory and predictive analysis, statistical modeling, machine learning, and developing algorithms to extract insights and make predictions, often supporting more research-oriented projects.</p></li><li><p><b>Data analysts</b> can be more focused on analyzing structured data to develop insights and support decision-making. They may work with existing data sets; perform descriptive analysis; create reports and visualizations; and help answer specific business questions, often involved in operational and business intelligence tasks. They typically have a broader understanding of various data analysis techniques, but their work may not involve the same level of complexity as data scientists.Their skill set may also be more focused on data manipulation and analysis rather than advanced modeling.</p></li></ul><p></p></div></div><div class="Default_content__HO8we"><div id=""><h2>Steps to become a data scientist</h2><h3>Step 1: Pursue an undergraduate data science degree</h3><p>BLS notes that becoming a data scientist requires a solid foundation in many different branches of mathematics including linear algebra, calculus, and statistics. While you may be able to build your knowledge in individual courses, data scientists typically hold a bachelor’s degree in fields such as mathematics, statistics, business, and engineering. You also have the option of pursuing a focused <a class="text-link underline" href="https://www.edx.org/bachelors/computer-data-sciences">bachelor's degree in data science</a>, which will cover not only math and statistics, but also data-oriented programming languages, statistical software, database software, and more.</p><p>If you want to <a class="text-link underline" href="https://www.edx.org/learn/data-science">learn data science</a>, explore the many different educational opportunities made available through edX. Instructional formats range from accelerated <a class="text-link underline" href="https://www.edx.org/boot-camps/data-analytics">data analytics boot camps</a> to specialized courses to full degree programs. Get started today. </p><p></p><h3>Step 2: Enhance your data science skills</h3><p>Earning an undergraduate degree can equip you with a comprehensive set of skills that can prepare you for a data science career. However, if you choose to pursue an undergraduate degree in more general fields such as business or mathematics, you may need to build additional competencies. To pursue a job in data science, it's important to have proficiency in the following technical and transferable skills: </p><p></p><table><tr><th><p><b>Technical skills</b></p></th><th><p><b>Transferable skills</b></p></th></tr><tr><td><p>Programming languages: Python, R, SQL</p></td><td><p>Analysis</p></td></tr><tr><td><p>Mathematics: Linear algebra, calculus, statistics, probability</p></td><td><p>Communication</p></td></tr><tr><td><p>Data analysis and visualization: Tableau, Power BI</p></td><td><p>Organization and attention to detail</p></td></tr><tr><td><p>Web scraping: BeautifulSoup, Scrapy</p></td><td><p>Problem-solving</p></td></tr><tr><td><p>Data mining and warehousing</p></td><td><p>Collaboration</p></td></tr><tr><td><p>Machine learning and AI</p></td><td><p>Creativity</p></td></tr><tr><td><p>Big data: Hadoop, Spark</p></td><td><p>Business acumen</p></td></tr></table><p></p><h3>Step 3: Get a data science certification</h3><p>Data science certifications can be a valuable means of demonstrating your skills and knowledge to potential employers. However, they are optional unless specifically requested. There are many different software developer certifications available, so be certain to pursue certifications in a specialization that aligns with your professional goals.</p><p>Certifications include, but are not limited to: </p><p></p><table><tr><th><p><b>Certification</b></p></th><th><p><b>Demonstrates knowledge of:</b></p></th></tr><tr><td><p><a class="text-link underline" href="https://aws.amazon.com/certification/certified-data-analytics-specialty/?trk=1d3789b7-cdfb-4b92-a125-75424f21eaaf&sc_channel=ps&ef_id=Cj0KCQjwpPKiBhDvARIsACn-gzC-2DGUYrD0GLXUw_fgUo4ai5NlqUZaqFlS885ycfCAy46IlOxLIM8aAkNnEALw_wcB:G:s&s_kwcid=AL!4422!3!616960529414!e!!g!!aws%20certified%20big%20data!11120345480!106933363422">Amazon Web Services (AWS) Certified Data Analytics Specialty</a></p></td><td><p>AWS data lakes and analytics services</p></td></tr><tr><td><p><a class="text-link underline" href="https://www.certifiedanalytics.org/">Certified Analytics Professional (CAP)</a></p></td><td><p>Domains of analytics</p></td></tr><tr><td><p><a class="text-link underline" href="https://www.cloudera.com/about/training/certification/cdhhdp-certification/cca-data-analyst.html">Cloudera Certified Associate (CCA) Data Analyst</a></p></td><td><p>Cloudera technologies</p></td></tr><tr><td><p><a class="text-link underline" href="https://cloud.google.com/learn/certification/data-engineer">Google Cloud Professional Data Engineer</a></p></td><td><p>Google Cloud technologies</p></td></tr><tr><td><p><a class="text-link underline" href="https://www.sas.com/en_us/certification/credentials/advanced-analytics/data-scientist.html">SAS (Statistical Analysis System) Certified Data Scientist</a></p></td><td><p>Data curation, advanced analytics, and AI and machine learning</p></td></tr><tr><td><p><a class="text-link underline" href="https://learn.microsoft.com/en-us/certifications/browse/?roles=data-scientist">Microsoft Certified</a></p></td><td><p>Microsoft products, including Azure</p></td></tr></table><p><b>Note:</b><i>The list above is intended to be a helpful starting point for exploration and research. It is not meant to be a comprehensive compilation or to provide definitive criteria for certifications, which can vary by region.</i></p><p></p><h3>Step 4: Earn a master’s degree in data science </h3><p>While a <a class="text-link underline" href="https://www.edx.org/masters/online-masters-in-data-science">master’s degree in data science</a> is not required to enter the field, it can also be a valuable asset. For candidates who studied a different subject in their undergraduate degree program and are hoping to transition into the field, a master’s program can cover topics such as machine learning, data mining, statistical analysis, and data visualization. It can also advance your programming skills in languages such as Python and R. Some employers may specifically seek out candidates with master’s degrees for higher level positions in leadership and management. </p><p></p><h3>Step 5: Excel in data science tools</h3><p>Data scientists use a variety of tools to complete different tasks. The specific tools that a data scientist needs may vary depending on their area of focus, the industry in which they work, and the data they are using. According to BLS, some of the tools data scientists can use include, but are not limited to: </p><ul><li><p><b>Web scraping</b> tools help collect data from websites. This data can be used for market research, product development, customer analysis, and more.</p></li><li><p><b>Machine learning</b> tools are used to build models that can learn from data and make predictions. These models can be used for fraud detection, spam filtering, product recommendations, and more.</p></li><li><p><b>Data visualization</b> tools can create graphs, charts, and other visuals that help data scientists understand and communicate their findings. These visuals can be used to present data to stakeholders, inform decision-making, and identify trends.</p></li><li><p><b>Business intelligence</b> tools help collect, store, and analyze data from a variety of sources. This data can be used to track performance, identify problems, and make improvements.</p></li><li><p><b>Instant metrics</b> tools can get real-time insights into data so information can be used to make decisions quickly and effectively.</p></li><li><p><b>Insights </b>tools can help extract meaning from data to identify trends, solve problems, and make recommendations.</p></li></ul><p>Continuous learning and adapting to new tools and technologies are also crucial for staying up to date in this rapidly evolving field. If you are looking to learn a new tool quickly, explore the different courses offered through edX.</p><p></p><h3>Step 6: Start your data science career</h3><p>When applying for jobs in the data science field, it's important to approach the process strategically. Start by clearly defining your career objectives, including the type of data science role you are interested in, the industry you prefer, and the skills you want to leverage or develop further. This clarity will help you focus your job search and tailor your applications. You can then start the job search process, completing the following steps:</p><ul><li><p><b>Polish your résumé:</b> Create a compelling and concise résumé that highlights your relevant skills, experience, and education. Emphasize your data science expertise, including programming languages, statistical analysis, machine learning, and any specific projects or achievements.</p></li><li><p><b>Build a strong online presence:</b> Establish an online presence that showcases your data science skills and accomplishments. Consider creating a professional website or a portfolio of projects. Include project descriptions, code samples, visualizations, and any outcomes or impact achieved. Also, ensure your LinkedIn profile is up to date and engage in relevant communities such as data science forums or open-source projects.</p></li><li><p><b>Network: </b>Leverage your professional and personal network to explore opportunities in the data science field. Attend industry events, conferences, and meetups to connect with professionals in the field. Networking can lead to job referrals or insider information about job openings.</p></li><li><p><b>Research companies and positions:</b> Identify companies that align with your interests and career goals. Research their data science teams, projects, and the technologies they use. Tailor your applications and cover letters to highlight your skills and how they align with the company's needs.</p></li><li><p><b>Prepare for interviews: </b>Study and review key data science concepts, algorithms, and methodologies. Be prepared to demonstrate your technical skills through coding exercises, data analysis challenges, and problem-solving tasks. Additionally, be ready to discuss your past projects, your approach to problem-solving, and your ability to communicate complex concepts.</p></li><li><p><b>Apply strategically: </b>Customize your applications to each position you apply for. Tailor your résumé, cover letter, and any additional materials to showcase how your skills and experience align with the specific job requirements.</p></li></ul><p>Throughout the application process, remember to stay informed about the latest developments, tools, and techniques used in the field. Engage in ongoing learning, which demonstrates your commitment to professional growth.</p><p>You should also remember that the job search process in the data science field may take time, so be persistent, patient, and open to feedback. Continuous learning, building your skills, and expanding your network will increase your chances of finding the right opportunity.</p></div></div><a class="subnav-item" id="browse-online-data-science-programs-and-courses"></a><div class="pt-16 pb-8 bg-putty-100 fullwidth"><div class="fullwidth px-4 md:px-0 background-light py-0 pt-8"><div class="w-full"><div class="md:flex flex-nowrap m-auto w-full"><div class="md:text-left flex-grow basis-1/3 pb-4 md:pb-0"><div class="flex items-start space-x-4"><div class="w-[48px] h-[48px]"><svg width="48" height="48" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg" role="img" focusable="false" aria-hidden="true"><path d="m23 12-2.44-2.79.34-3.69-3.61-.82-1.89-3.2L12 2.96 8.6 1.5 6.71 4.69 3.1 5.5l.34 3.7L1 12l2.44 2.79-.34 3.7 3.61.82L8.6 22.5l3.4-1.47 3.4 1.46 1.89-3.19 3.61-.82-.34-3.69L23 12Zm-12.91 4.72-3.8-3.81 1.48-1.48 2.32 2.33 5.85-5.87 1.48 1.48-7.33 7.35Z" fill="currentColor"></path></svg></div><div class="md:pr-12"><h3 class="text-primary mt-0 md:-md-1 text-lg md:mb-2">Stand out in your field</h3><span class="mb-4 md:mb-0 text-sm">Use the knowledge and skills you have gained to drive impact at work and grow your career.</span></div></div></div><div class="md:text-left flex-grow basis-1/3 pb-4 md:pb-0"><div class="flex items-start space-x-4"><div class="w-[48px] h-[48px]"><svg width="48" height="48" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg" role="img" focusable="false" aria-hidden="true"><path d="M11.99 2C6.47 2 2 6.48 2 12s4.47 10 9.99 10C17.52 22 22 17.52 22 12S17.52 2 11.99 2zM12 20c-4.42 0-8-3.58-8-8s3.58-8 8-8 8 3.58 8 8-3.58 8-8 8zm.5-13H11v6l5.25 3.15.75-1.23-4.5-2.67z" fill="currentColor"></path></svg></div><div class="md:pr-12"><h3 class="text-primary mt-0 md:-md-1 text-lg md:mb-2">Learn at your own pace</h3><span class="mb-4 md:mb-0 text-sm">On your computer, tablet or phone, online courses make learning flexible to fit your busy life.</span></div></div></div><div class="md:text-left flex-grow basis-1/3 pb-4 md:pb-0"><div class="flex items-start space-x-4"><div class="w-[48px] h-[48px]"><svg xmlns="http://www.w3.org/2000/svg" width="48" height="48" viewBox="0 0 24 24" fill="none" role="img" focusable="false" aria-hidden="true"><path d="m16 6 2.29 2.29-4.88 4.88-4-4L2 16.59 3.41 18l6-6 4 4 6.3-6.29L22 12V6h-6z" fill="currentColor"></path></svg></div><div class="md:pr-12"><h3 class="text-primary mt-0 md:-md-1 text-lg md:mb-2">Earn a valuable credential</h3><span class="mb-4 md:mb-0 text-sm">Showcase your key skills and valuable knowledge.</span></div></div></div></div></div></div><a class="subnav-item" id=""></a><div class="mb-0 -mt-4"><div class="flex gap-4 py-4 flex-wrap flex-nowrap overflow-x-scroll md:flex-wrap md:overflow-x-auto gap-6"></div><div class="flex justify-center mt-5"></div></div></div><div class="Default_content__HO8we"><div id=""><h2>Browse online data science boot camps</h2><p></p></div></div><div class="pt-16 pb-8 bg-putty-100 fullwidth"><div class="fullwidth px-4 md:px-0 background-light py-0 pt-8"><div class="w-full"><div class="md:flex flex-nowrap m-auto w-full"><div class="md:text-left flex-grow basis-1/3 pb-4 md:pb-0"><div class="flex items-start space-x-4"><div class="w-[48px] h-[48px]"><svg width="48" height="48" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg" role="img" focusable="false" aria-hidden="true"><path d="m23 12-2.44-2.79.34-3.69-3.61-.82-1.89-3.2L12 2.96 8.6 1.5 6.71 4.69 3.1 5.5l.34 3.7L1 12l2.44 2.79-.34 3.7 3.61.82L8.6 22.5l3.4-1.47 3.4 1.46 1.89-3.19 3.61-.82-.34-3.69L23 12Zm-12.91 4.72-3.8-3.81 1.48-1.48 2.32 2.33 5.85-5.87 1.48 1.48-7.33 7.35Z" fill="currentColor"></path></svg></div><div class="md:pr-12"><h3 class="text-primary mt-0 md:-md-1 text-lg md:mb-2">Results-driven curriculum</h3><span class="mb-4 md:mb-0 text-sm">Led by industry experts, our boot camp programs equip you with in-demand skills, a portfolio and a university-backed certification.</span></div></div></div><div class="md:text-left flex-grow basis-1/3 pb-4 md:pb-0"><div class="flex items-start space-x-4"><div class="w-[48px] h-[48px]"><svg width="48" height="48" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg" role="img" focusable="false" aria-hidden="true"><path d="M11.99 2C6.47 2 2 6.48 2 12s4.47 10 9.99 10C17.52 22 22 17.52 22 12S17.52 2 11.99 2zM12 20c-4.42 0-8-3.58-8-8s3.58-8 8-8 8 3.58 8 8-3.58 8-8 8zm.5-13H11v6l5.25 3.15.75-1.23-4.5-2.67z" fill="currentColor"></path></svg></div><div class="md:pr-12"><h3 class="text-primary mt-0 md:-md-1 text-lg md:mb-2">Flexible learning experience</h3><span class="mb-4 md:mb-0 text-sm">With full- and part-time options, night and weekend classes, and self-guided coursework, you’ll earn your certificate in 12, 18 or 24 weeks.</span></div></div></div><div class="md:text-left flex-grow basis-1/3 pb-4 md:pb-0"><div class="flex items-start space-x-4"><div class="w-[48px] h-[48px]"><svg width="48" height="48" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg" role="img" focusable="false" aria-hidden="true"><circle cx="9" cy="13" r="1" fill="currentColor"></circle><circle cx="15" cy="13" r="1" fill="currentColor"></circle><path d="M18 11.03A6.04 6.04 0 0 0 12.05 6c-3.03 0-6.29 2.51-6.03 6.45a8.075 8.075 0 0 0 4.86-5.89c1.31 2.63 4 4.44 7.12 4.47z" fill="currentColor"></path><path d="M20.99 12c-.11-5.37-4.31-9-8.99-9-4.61 0-8.85 3.53-8.99 9H2v6h3v-5.81c0-3.83 2.95-7.18 6.78-7.29a7.007 7.007 0 0 1 7.22 7V19h-8v2h10v-3h1v-6h-1.01z" fill="currentColor"></path></svg></div><div class="md:pr-12"><h3 class="text-primary mt-0 md:-md-1 text-lg md:mb-2">Dedicated career support</h3><span class="mb-4 md:mb-0 text-sm">Work with a career coach, leverage professional resources, attend events and access job referrals from our network of 250+ employers.</span></div></div></div></div></div></div><a class="subnav-item" id=""></a><div class="mb-0 -mt-4"><div class="flex gap-4 py-4 flex-wrap flex-nowrap overflow-x-scroll md:flex-wrap md:overflow-x-auto gap-6"></div><div class="flex justify-center mt-5"></div></div></div><div class="w-full p-0 m-0 flex flex-col lg:flex-row pt-6 pb-6 lg:pt-16 lg:pb-16 "><div><h2 class="tracking-tighter text-primary text-6xl mb-4 lg:pr-14 lg:mb-0 lg:mt-0.5">Frequently asked <span class="text-brand">questions</span></h2></div><div class="flex flex-col w-full no-underlines"><div class="flex flex-col gap-5 [&_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-:Rjajjtrkva:" aria-expanded="false" data-state="closed" data-orientation="vertical" id="radix-:R3ajjtrkva:" class="flex flex-1 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="">What does a data scientist do?<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-putty-dark 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-:Rjajjtrkva:" hidden="" role="region" aria-labelledby="radix-:R3ajjtrkva:" 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-:Rlajjtrkva:" aria-expanded="false" data-state="closed" data-orientation="vertical" id="radix-:R5ajjtrkva:" class="flex flex-1 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="">What kind of skills do I need to become a data scientist?<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-putty-dark 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-:Rlajjtrkva:" hidden="" role="region" aria-labelledby="radix-:R5ajjtrkva:" 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-:Rnajjtrkva:" aria-expanded="false" data-state="closed" data-orientation="vertical" id="radix-:R7ajjtrkva:" class="flex flex-1 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="">How long does it take to become a data scientist?<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-putty-dark 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-:Rnajjtrkva:" hidden="" role="region" aria-labelledby="radix-:R7ajjtrkva:" 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-:Rpajjtrkva:" aria-expanded="false" data-state="closed" data-orientation="vertical" id="radix-:R9ajjtrkva:" class="flex flex-1 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="">How to become a data scientist without a degree?<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-putty-dark 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-:Rpajjtrkva:" hidden="" role="region" aria-labelledby="radix-:R9ajjtrkva:" 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-:Rrajjtrkva:" aria-expanded="false" data-state="closed" data-orientation="vertical" id="radix-:Rbajjtrkva:" class="flex flex-1 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="">Is it hard to become a data scientist?<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-putty-dark 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-:Rrajjtrkva:" hidden="" role="region" aria-labelledby="radix-:Rbajjtrkva:" 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-:Rtajjtrkva:" aria-expanded="false" data-state="closed" data-orientation="vertical" id="radix-:Rdajjtrkva:" class="flex flex-1 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="">Why become a data scientist?<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-putty-dark 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-:Rtajjtrkva:" hidden="" role="region" aria-labelledby="radix-:Rdajjtrkva:" 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></div><div class="Default_content__HO8we"><div id=""><p>Last updated: July 2023</p></div></div></article></main></div><div class="bg-primary text-primary-foreground pt-16"><footer class="flex justify-between max-w-screen-xl mx-auto px-4 pb-4 "><div class="flex flex-col w-full"><div class="flex flex-wrap justify-between mb-6 w-full"><a href="/" class="mb-6"><img alt="edX homepage" data-ot-ignore="true" loading="lazy" width="127" height="67" decoding="async" data-nimg="1" class="optanon-category-C0001" style="color:transparent" 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They typically have a broader understanding of various data analysis techniques, but their work may not involve the same level of complexity as data scientists.Their skill set may also be more focused on data manipulation and analysis rather than advanced modeling.\"]}]}]]}],[\"$\",\"p\",\"3\",{\"children\":\"$undefined\"}]]}]}],[\"$\",\"div\",null,{\"className\":\"Default_content__HO8we\",\"children\":[\"$\",\"div\",null,{\"id\":\"\",\"children\":[[\"$\",\"h2\",\"0\",{\"children\":\"Steps to become a data scientist\"}],[\"$\",\"h3\",\"1\",{\"children\":\"Step 1: Pursue an undergraduate data science degree\"}],[\"$\",\"p\",\"2\",{\"children\":[\"BLS notes that becoming a data scientist requires a solid foundation in many different branches of mathematics including linear algebra, calculus, and statistics. While you may be able to build your knowledge in individual courses, data scientists typically hold a bachelor’s degree in fields such as mathematics, statistics, business, and engineering. You also have the option of pursuing a focused \",[\"$\",\"a\",\"1\",{\"className\":\"text-link underline\",\"href\":\"https://www.edx.org/bachelors/computer-data-sciences\",\"children\":\"bachelor's degree in data science\"}],\", which will cover not only math and statistics, but also data-oriented programming languages, statistical software, database software, and more.\"]}],[\"$\",\"p\",\"3\",{\"children\":[\"If you want to \",[\"$\",\"a\",\"1\",{\"className\":\"text-link underline\",\"href\":\"https://www.edx.org/learn/data-science\",\"children\":\"learn data science\"}],\", explore the many different educational opportunities made available through edX. Instructional formats range from accelerated \",[\"$\",\"a\",\"3\",{\"className\":\"text-link underline\",\"href\":\"https://www.edx.org/boot-camps/data-analytics\",\"children\":\"data analytics boot camps\"}],\" to specialized courses to full degree programs. Get started today. \"]}],[\"$\",\"p\",\"4\",{\"children\":\"$undefined\"}],[\"$\",\"h3\",\"5\",{\"children\":\"Step 2: Enhance your data science skills\"}],[\"$\",\"p\",\"6\",{\"children\":\"Earning an undergraduate degree can equip you with a comprehensive set of skills that can prepare you for a data science career. However, if you choose to pursue an undergraduate degree in more general fields such as business or mathematics, you may need to build additional competencies. To pursue a job in data science, it's important to have proficiency in the following technical and transferable skills: \"}],[\"$\",\"p\",\"7\",{\"children\":\"$undefined\"}],[\"$\",\"table\",\"8\",{\"children\":[[\"$\",\"tr\",\"0\",{\"children\":[[\"$\",\"th\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":[\"$\",\"b\",null,{\"children\":\"Technical skills\"}]}]}],[\"$\",\"th\",\"1\",{\"children\":[\"$\",\"p\",null,{\"children\":[\"$\",\"b\",null,{\"children\":\"Transferable skills\"}]}]}]]}],[\"$\",\"tr\",\"1\",{\"children\":[[\"$\",\"td\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Programming languages: Python, R, SQL\"}]}],[\"$\",\"td\",\"1\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Analysis\"}]}]]}],[\"$\",\"tr\",\"2\",{\"children\":[[\"$\",\"td\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Mathematics: Linear algebra, calculus, statistics, probability\"}]}],[\"$\",\"td\",\"1\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Communication\"}]}]]}],[\"$\",\"tr\",\"3\",{\"children\":[[\"$\",\"td\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Data analysis and visualization: Tableau, Power BI\"}]}],[\"$\",\"td\",\"1\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Organization and attention to detail\"}]}]]}],[\"$\",\"tr\",\"4\",{\"children\":[[\"$\",\"td\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Web scraping: BeautifulSoup, Scrapy\"}]}],[\"$\",\"td\",\"1\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Problem-solving\"}]}]]}],[\"$\",\"tr\",\"5\",{\"children\":[[\"$\",\"td\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Data mining and warehousing\"}]}],[\"$\",\"td\",\"1\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Collaboration\"}]}]]}],[\"$\",\"tr\",\"6\",{\"children\":[[\"$\",\"td\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Machine learning and AI\"}]}],[\"$\",\"td\",\"1\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Creativity\"}]}]]}],[\"$\",\"tr\",\"7\",{\"children\":[[\"$\",\"td\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Big data: Hadoop, Spark\"}]}],[\"$\",\"td\",\"1\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Business acumen\"}]}]]}]]}],[\"$\",\"p\",\"9\",{\"children\":\"$undefined\"}],[\"$\",\"h3\",\"10\",{\"children\":\"Step 3: Get a data science certification\"}],[\"$\",\"p\",\"11\",{\"children\":\"Data science certifications can be a valuable means of demonstrating your skills and knowledge to potential employers. However, they are optional unless specifically requested. There are many different software developer certifications available, so be certain to pursue certifications in a specialization that aligns with your professional goals.\"}],[\"$\",\"p\",\"12\",{\"children\":\"Certifications include, but are not limited to: \"}],[\"$\",\"p\",\"13\",{\"children\":\"$undefined\"}],[\"$\",\"table\",\"14\",{\"children\":[[\"$\",\"tr\",\"0\",{\"children\":[[\"$\",\"th\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":[\"$\",\"b\",null,{\"children\":\"Certification\"}]}]}],[\"$\",\"th\",\"1\",{\"children\":[\"$\",\"p\",null,{\"children\":[\"$\",\"b\",null,{\"children\":\"Demonstrates knowledge of:\"}]}]}]]}],[\"$\",\"tr\",\"1\",{\"children\":[[\"$\",\"td\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":[\"$\",\"a\",null,{\"className\":\"text-link underline\",\"href\":\"https://aws.amazon.com/certification/certified-data-analytics-specialty/?trk=1d3789b7-cdfb-4b92-a125-75424f21eaaf\u0026sc_channel=ps\u0026ef_id=Cj0KCQjwpPKiBhDvARIsACn-gzC-2DGUYrD0GLXUw_fgUo4ai5NlqUZaqFlS885ycfCAy46IlOxLIM8aAkNnEALw_wcB:G:s\u0026s_kwcid=AL!4422!3!616960529414!e!!g!!aws%20certified%20big%20data!11120345480!106933363422\",\"children\":\"Amazon Web Services (AWS) Certified Data Analytics Specialty\"}]}]}],[\"$\",\"td\",\"1\",{\"children\":[\"$\",\"p\",null,{\"children\":\"AWS data lakes and analytics services\"}]}]]}],[\"$\",\"tr\",\"2\",{\"children\":[[\"$\",\"td\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":[\"$\",\"a\",null,{\"className\":\"text-link underline\",\"href\":\"https://www.certifiedanalytics.org/\",\"children\":\"Certified Analytics Professional (CAP)\"}]}]}],[\"$\",\"td\",\"1\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Domains of analytics\"}]}]]}],[\"$\",\"tr\",\"3\",{\"children\":[[\"$\",\"td\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":[\"$\",\"a\",null,{\"className\":\"text-link underline\",\"href\":\"https://www.cloudera.com/about/training/certification/cdhhdp-certification/cca-data-analyst.html\",\"children\":\"Cloudera Certified Associate (CCA) Data Analyst\"}]}]}],[\"$\",\"td\",\"1\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Cloudera technologies\"}]}]]}],[\"$\",\"tr\",\"4\",{\"children\":[[\"$\",\"td\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":[\"$\",\"a\",null,{\"className\":\"text-link underline\",\"href\":\"https://cloud.google.com/learn/certification/data-engineer\",\"children\":\"Google Cloud Professional Data Engineer\"}]}]}],[\"$\",\"td\",\"1\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Google Cloud technologies\"}]}]]}],[\"$\",\"tr\",\"5\",{\"children\":[[\"$\",\"td\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":[\"$\",\"a\",null,{\"className\":\"text-link underline\",\"href\":\"https://www.sas.com/en_us/certification/credentials/advanced-analytics/data-scientist.html\",\"children\":\"SAS (Statistical Analysis System) Certified Data Scientist\"}]}]}],[\"$\",\"td\",\"1\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Data curation, advanced analytics, and AI and machine learning\"}]}]]}],[\"$\",\"tr\",\"6\",{\"children\":[[\"$\",\"td\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":[\"$\",\"a\",null,{\"className\":\"text-link underline\",\"href\":\"https://learn.microsoft.com/en-us/certifications/browse/?roles=data-scientist\",\"children\":\"Microsoft Certified\"}]}]}],[\"$\",\"td\",\"1\",{\"children\":[\"$\",\"p\",null,{\"children\":\"Microsoft products, including Azure\"}]}]]}]]}],[\"$\",\"p\",\"15\",{\"children\":[[\"$\",\"b\",\"0\",{\"children\":\"Note:\"}],[\"$\",\"i\",\"1\",{\"children\":\"The list above is intended to be a helpful starting point for exploration and research. It is not meant to be a comprehensive compilation or to provide definitive criteria for certifications, which can vary by region.\"}]]}],[\"$\",\"p\",\"16\",{\"children\":\"$undefined\"}],[\"$\",\"h3\",\"17\",{\"children\":\"Step 4: Earn a master’s degree in data science \"}],[\"$\",\"p\",\"18\",{\"children\":[\"While a \",[\"$\",\"a\",\"1\",{\"className\":\"text-link underline\",\"href\":\"https://www.edx.org/masters/online-masters-in-data-science\",\"children\":\"master’s degree in data science\"}],\" is not required to enter the field, it can also be a valuable asset. For candidates who studied a different subject in their undergraduate degree program and are hoping to transition into the field, a master’s program can cover topics such as machine learning, data mining, statistical analysis, and data visualization. It can also advance your programming skills in languages such as Python and R. Some employers may specifically seek out candidates with master’s degrees for higher level positions in leadership and management. \"]}],[\"$\",\"p\",\"19\",{\"children\":\"$undefined\"}],[\"$\",\"h3\",\"20\",{\"children\":\"Step 5: Excel in data science tools\"}],[\"$\",\"p\",\"21\",{\"children\":\"Data scientists use a variety of tools to complete different tasks. The specific tools that a data scientist needs may vary depending on their area of focus, the industry in which they work, and the data they are using. According to BLS, some of the tools data scientists can use include, but are not limited to: \"}],[\"$\",\"ul\",\"22\",{\"children\":[[\"$\",\"li\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":[[\"$\",\"b\",\"0\",{\"children\":\"Web scraping\"}],\" tools help collect data from websites. This data can be used for market research, product development, customer analysis, and more.\"]}]}],[\"$\",\"li\",\"1\",{\"children\":[\"$\",\"p\",null,{\"children\":[[\"$\",\"b\",\"0\",{\"children\":\"Machine learning\"}],\" tools are used to build models that can learn from data and make predictions. These models can be used for fraud detection, spam filtering, product recommendations, and more.\"]}]}],[\"$\",\"li\",\"2\",{\"children\":[\"$\",\"p\",null,{\"children\":[[\"$\",\"b\",\"0\",{\"children\":\"Data visualization\"}],\" tools can create graphs, charts, and other visuals that help data scientists understand and communicate their findings. These visuals can be used to present data to stakeholders, inform decision-making, and identify trends.\"]}]}],[\"$\",\"li\",\"3\",{\"children\":[\"$\",\"p\",null,{\"children\":[[\"$\",\"b\",\"0\",{\"children\":\"Business intelligence\"}],\" tools help collect, store, and analyze data from a variety of sources. This data can be used to track performance, identify problems, and make improvements.\"]}]}],[\"$\",\"li\",\"4\",{\"children\":[\"$\",\"p\",null,{\"children\":[[\"$\",\"b\",\"0\",{\"children\":\"Instant metrics\"}],\" tools can get real-time insights into data so information can be used to make decisions quickly and effectively.\"]}]}],[\"$\",\"li\",\"5\",{\"children\":[\"$\",\"p\",null,{\"children\":[[\"$\",\"b\",\"0\",{\"children\":\"Insights \"}],\"tools can help extract meaning from data to identify trends, solve problems, and make recommendations.\"]}]}]]}],[\"$\",\"p\",\"23\",{\"children\":\"Continuous learning and adapting to new tools and technologies are also crucial for staying up to date in this rapidly evolving field. If you are looking to learn a new tool quickly, explore the different courses offered through edX.\"}],[\"$\",\"p\",\"24\",{\"children\":\"$undefined\"}],[\"$\",\"h3\",\"25\",{\"children\":\"Step 6: Start your data science career\"}],[\"$\",\"p\",\"26\",{\"children\":\"When applying for jobs in the data science field, it's important to approach the process strategically. Start by clearly defining your career objectives, including the type of data science role you are interested in, the industry you prefer, and the skills you want to leverage or develop further. This clarity will help you focus your job search and tailor your applications. You can then start the job search process, completing the following steps:\"}],[\"$\",\"ul\",\"27\",{\"children\":[[\"$\",\"li\",\"0\",{\"children\":[\"$\",\"p\",null,{\"children\":[[\"$\",\"b\",\"0\",{\"children\":\"Polish your résumé:\"}],\" Create a compelling and concise résumé that highlights your relevant skills, experience, and education. Emphasize your data science expertise, including programming languages, statistical analysis, machine learning, and any specific projects or achievements.\"]}]}],[\"$\",\"li\",\"1\",{\"children\":[\"$\",\"p\",null,{\"children\":[[\"$\",\"b\",\"0\",{\"children\":\"Build a strong online presence:\"}],\" Establish an online presence that showcases your data science skills and accomplishments. Consider creating a professional website or a portfolio of projects. Include project descriptions, code samples, visualizations, and any outcomes or impact achieved. Also, ensure your LinkedIn profile is up to date and engage in relevant communities such as data science forums or open-source projects.\"]}]}],[\"$\",\"li\",\"2\",{\"children\":[\"$\",\"p\",null,{\"children\":[[\"$\",\"b\",\"0\",{\"children\":\"Network: \"}],\"Leverage your professional and personal network to explore opportunities in the data science field. Attend industry events, conferences, and meetups to connect with professionals in the field. Networking can lead to job referrals or insider information about job openings.\"]}]}],[\"$\",\"li\",\"3\",{\"children\":[\"$\",\"p\",null,{\"children\":[[\"$\",\"b\",\"0\",{\"children\":\"Research companies and positions:\"}],\" Identify companies that align with your interests and career goals. Research their data science teams, projects, and the technologies they use. Tailor your applications and cover letters to highlight your skills and how they align with the company's needs.\"]}]}],[\"$\",\"li\",\"4\",{\"children\":[\"$\",\"p\",null,{\"children\":[[\"$\",\"b\",\"0\",{\"children\":\"Prepare for interviews: \"}],\"Study and review key data science concepts, algorithms, and methodologies. Be prepared to demonstrate your technical skills through coding exercises, data analysis challenges, and problem-solving tasks. Additionally, be ready to discuss your past projects, your approach to problem-solving, and your ability to communicate complex concepts.\"]}]}],[\"$\",\"li\",\"5\",{\"children\":[\"$\",\"p\",null,{\"children\":[[\"$\",\"b\",\"0\",{\"children\":\"Apply strategically: \"}],\"Customize your applications to each position you apply for. Tailor your résumé, cover letter, and any additional materials to showcase how your skills and experience align with the specific job requirements.\"]}]}]]}],[\"$\",\"p\",\"28\",{\"children\":\"Throughout the application process, remember to stay informed about the latest developments, tools, and techniques used in the field. Engage in ongoing learning, which demonstrates your commitment to professional growth.\"}],[\"$\",\"p\",\"29\",{\"children\":\"You should also remember that the job search process in the data science field may take time, so be persistent, patient, and open to feedback. Continuous learning, building your skills, and expanding your network will increase your chances of finding the right opportunity.\"}]]}]}],[\"$\",\"a\",\"4\",{\"className\":\"subnav-item\",\"id\":\"browse-online-data-science-programs-and-courses\",\"children\":\"$undefined\"}],\"$L2c8\",\"$L2c9\",[\"$\",\"div\",null,{\"className\":\"Default_content__HO8we\",\"children\":[\"$\",\"div\",null,{\"id\":\"\",\"children\":[[\"$\",\"h2\",\"0\",{\"children\":\"Browse online data science boot camps\"}],[\"$\",\"p\",\"1\",{\"children\":\"$undefined\"}]]}]}],\"$L2ca\",[\"$\",\"div\",null,{\"className\":\"w-full p-0 m-0 flex flex-col lg:flex-row pt-6 pb-6 lg:pt-16 lg:pb-16 \",\"children\":[[\"$\",\"div\",null,{\"children\":[\"$\",\"h2\",null,{\"className\":\"tracking-tighter text-primary text-6xl mb-4 lg:pr-14 lg:mb-0 lg:mt-0.5\",\"children\":[[\"$\",\"$2cb\",\"0\",{\"children\":[\"Frequently asked \",[\"$\",\"span\",null,{\"className\":\"text-brand\",\"children\":\"questions\"}]]}],[\"$\",\"$2cb\",\"1\",{\"children\":[\"\",false]}]]}]}],[\"$\",\"div\",null,{\"className\":\"flex flex-col w-full no-underlines\",\"children\":[\"$\",\"$L2cc\",null,{\"type\":\"single\",\"collapsible\":true,\"className\":\"flex flex-col gap-5 [\u0026_button]:no-underline [\u0026_button]:text-gray-dark [\u0026_button:hover]:text-gray-dark\",\"children\":[[\"$\",\"$L2cd\",null,{\"value\":\"What does a data scientist do?\",\"className\":\"AccordionTextItem_item__adF2E AccordionTextItem_item__adF2E\",\"children\":[[\"$\",\"$L2ce\",null,{\"className\":\"AccordionTextItem_trigger__CiZ_J AccordionTextItem_trigger__CiZ_J\",\"children\":\"What does a data scientist do?\"}],[\"$\",\"$L2cf\",null,{\"className\":\"AccordionTextItem_content__G0vl3 AccordionTextItem_content__G0vl3\",\"children\":[\"$\",\"p\",null,{\"children\":\"Data scientists collect, analyze, and interpret data to solve problems and make informed decisions. They use a variety of statistical and machine learning techniques to extract meaning from data, and they communicate their findings to stakeholders in a clear and concise way. Data scientists can be found in different industries. A data scientist in healthcare might analyze patient records to identify trends in treatments, while a data scientist in retail might use data to optimize product placement and pricing.\"}]}]]}],[\"$\",\"$L2cd\",null,{\"value\":\"What kind of skills do I need to become a data scientist?\",\"className\":\"AccordionTextItem_item__adF2E AccordionTextItem_item__adF2E\",\"children\":[[\"$\",\"$L2ce\",null,{\"className\":\"AccordionTextItem_trigger__CiZ_J AccordionTextItem_trigger__CiZ_J\",\"children\":\"What kind of skills do I need to become a data scientist?\"}],[\"$\",\"$L2cf\",null,{\"className\":\"AccordionTextItem_content__G0vl3 AccordionTextItem_content__G0vl3\",\"children\":[\"$\",\"p\",null,{\"children\":\"To become a data scientist, you’ll need a strong foundation in mathematics and statistics, as well as a combination of technical and transferable skills. Technical skills include proficiency in programming languages; data analysis and visualization; web scraping, data mining and warehousing; machine learning and AI, and big data. Transferable skills include analytical thinking, communication, organization, problem-solving, collaboration, self-learning, business acumen, creativity, and ethics.\"}]}]]}],[\"$\",\"$L2cd\",null,{\"value\":\"How long does it take to become a data scientist?\",\"className\":\"AccordionTextItem_item__adF2E AccordionTextItem_item__adF2E\",\"children\":[[\"$\",\"$L2ce\",null,{\"className\":\"AccordionTextItem_trigger__CiZ_J AccordionTextItem_trigger__CiZ_J\",\"children\":\"How long does it take to become a data scientist?\"}],[\"$\",\"$L2cf\",null,{\"className\":\"AccordionTextItem_content__G0vl3 AccordionTextItem_content__G0vl3\",\"children\":[\"$\",\"p\",null,{\"children\":\"The amount of time it takes to become a data scientist depends on several factors, including your current level of experience and knowledge; the type of data science role you are looking for; and the amount of time you are willing to devote to studying and practicing data science. Data science jobs typically require a bachelor’s degree in data science or a related field which can take about four years. Employers may require a master’s degree for certain roles.\"}]}]]}],[\"$\",\"$L2cd\",null,{\"value\":\"How to become a data scientist without a degree?\",\"className\":\"AccordionTextItem_item__adF2E AccordionTextItem_item__adF2E\",\"children\":[[\"$\",\"$L2ce\",null,{\"className\":\"AccordionTextItem_trigger__CiZ_J AccordionTextItem_trigger__CiZ_J\",\"children\":\"How to become a data scientist without a degree?\"}],[\"$\",\"$L2cf\",null,{\"className\":\"AccordionTextItem_content__G0vl3 AccordionTextItem_content__G0vl3\",\"children\":[\"$\",\"p\",null,{\"children\":\"To become a data scientist without a degree, you need to prove your skills and experience. This can be done by building a strong portfolio, networking with other professionals in the field, and staying up to date on the latest data science trends. Data science boot camps provide intensive, hands-on experience that can help you fill in any gaps and develop the skills and knowledge you need. Additionally, completing a certificate program in data science or analytics can show your commitment to the field and help you stand out.\"}]}]]}],[\"$\",\"$L2cd\",null,{\"value\":\"Is it hard to become a data scientist?\",\"className\":\"AccordionTextItem_item__adF2E AccordionTextItem_item__adF2E\",\"children\":[[\"$\",\"$L2ce\",null,{\"className\":\"AccordionTextItem_trigger__CiZ_J AccordionTextItem_trigger__CiZ_J\",\"children\":\"Is it hard to become a data scientist?\"}],[\"$\",\"$L2cf\",null,{\"className\":\"AccordionTextItem_content__G0vl3 AccordionTextItem_content__G0vl3\",\"children\":[\"$\",\"p\",null,{\"children\":\"Becoming a data scientist requires dedication and hard work. You should have a good understanding of mathematics and statistics and be comfortable with learning programming languages and software applications. Additionally, you should be familiar with data visualization tools and be able to discuss your findings in a clear and concise manner. \"}]}]]}],[\"$\",\"$L2cd\",null,{\"value\":\"Why become a data scientist?\",\"className\":\"AccordionTextItem_item__adF2E AccordionTextItem_item__adF2E\",\"children\":[[\"$\",\"$L2ce\",null,{\"className\":\"AccordionTextItem_trigger__CiZ_J AccordionTextItem_trigger__CiZ_J\",\"children\":\"Why become a data scientist?\"}],[\"$\",\"$L2cf\",null,{\"className\":\"AccordionTextItem_content__G0vl3 AccordionTextItem_content__G0vl3\",\"children\":[\"$\",\"p\",null,{\"children\":\"Data science is a career that allows you to combine analytical, problem-solving, creative, and programming skills. Data scientists work in a variety of industries and use their skills to collect, clean, analyze, and visualize data to solve real-world problems. As a data scientist, you can have the opportunity to work with data from different sources, help organizations make better decisions, and stay current with the latest trends and techniques.\"}]}]]}]]}]}]]}],[\"$\",\"div\",null,{\"className\":\"Default_content__HO8we\",\"children\":[\"$\",\"div\",null,{\"id\":\"\",\"children\":[\"$\",\"p\",null,{\"children\":\"Last updated: July 2023\"}]}]}]]}]}]]}],[\"$\",\"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\":[\"$\",\"$L21\",null,{\"src\":\"/trademark-logos/edx-by-2u-white.svg\",\"alt\":\"edX 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