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How to Get Into Data Science in 2023 - AI Time Journal - Artificial Intelligence, Automation, Work and Business

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id="post-35657" itemtype="https://schema.org/CreativeWork" itemscope="itemscope"> <div class="ast-post-format- single-layout-1 ast-no-date-box"> <header class="entry-header "> <h1 class="entry-title" itemprop="headline">How to Get Into Data Science in 2023</h1><div class="entry-meta">By <span class="posted-by vcard author" itemtype="https://schema.org/Person" itemscope="itemscope" itemprop="author"> <a title="View all posts by Nisha Arya Ahmed" href="https://www.aitimejournal.com/author/nisha-arya-ahmed/" rel="author" class="url fn n" itemprop="url"> <span class="author-name" itemprop="name"> Nisha Arya Ahmed </span> </a> </span> / Updated April 28, 2023</div> </header><!-- .entry-header --> <div class="entry-content clear" ast-blocks-layout="true" itemprop="text"> <p>The world of technology is evolving faster than ever and everybody wants to be a part of it. </p><!-- End Ezoic - gen_under_page_title - under_page_title --><span id="ezoic-pub-ad-placeholder-901" data-method="placement-service"></span><span data-ez-ph-id="901"></span><!-- Ezoic - gen_under_page_title - under_page_title --> <h2 class="simpletoc-title ">Table of Contents</h2><ul class="simpletoc-list"> <li> <a href="#education" data-wpel-link="internal">Education</a></li><li> <a href="#fundamentals" data-wpel-link="internal">Fundamentals</a></li><li> <a href="#specialising-in-your-chosen-programming-language" data-wpel-link="internal">Specializing in your chosen programming language</a></li><li> <a href="#practice-makes-perfect" data-wpel-link="internal">Practice makes perfect!</a></li><li> <a href="#your-own-projects" data-wpel-link="internal">Your own projects</a></li><li> <a href="#what-more-can-i-do" data-wpel-link="internal">What more can I do?</a></li></ul> <figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper"> <div class="ast-oembed-container " style="height: 100%;"><iframe title="How to Get Into Data Science" width="1200" height="675" data-ezsrc="https://www.youtube.com/embed/e3ViXFp2VgA?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="" class="ezlazyload"></iframe></div> </div></figure> <p>Back in 2015, the demand for data scientists was off the charts according to <a href="https://economicgraph.linkedin.com/resources/linkedin-workforce-report-august-2018" data-wpel-link="external" rel="follow external noopener">LinkedIn Workforce Report, United States in August 2018</a>. More and more industries are dependent on big data analysis to make decisions, however, there has been a decrease in the amount of data scientists available. Many people want to get involved but many also do not know how to get there. This article will give insight into how you or someone you know can do so.<br/><span id="ezoic-pub-ad-placeholder-135" class="ezoic-adpicker-ad"></span><span data-ez-ph-id="135"></span></p> <figure class="wp-block-image size-large"><img decoding="async" loading="lazy" width="1024" height="632" src="https://www.aitimejournal.com/wp-content/uploads/2022/05/How-to-get-into-data-science1200x741-1024x632.jpg" alt="" class="wp-image-35790" srcset="https://www.aitimejournal.com/wp-content/uploads/2022/05/How-to-get-into-data-science1200x741-1024x632.jpg 1024w, https://www.aitimejournal.com/wp-content/uploads/2022/05/How-to-get-into-data-science1200x741-300x185.jpg 300w, https://www.aitimejournal.com/wp-content/uploads/2022/05/How-to-get-into-data-science1200x741-768x474.jpg 768w, https://www.aitimejournal.com/wp-content/uploads/2022/05/How-to-get-into-data-science1200x741-348x215.jpg 348w, https://www.aitimejournal.com/wp-content/uploads/2022/05/How-to-get-into-data-science1200x741.jpg 1200w" sizes="(max-width: 1024px) 100vw, 1024px"/></figure> <h2 id="education"><strong>Education</strong></h2> <p>The first thing we will look into is education. The different types of educational systems you can get into, what you will need and not need. <br/>There are many routes you can go through to get into the world of Data Science. Here’s a breakdown:</p><!-- End Ezoic - gen_under_first_paragraph - under_first_paragraph --><span id="ezoic-pub-ad-placeholder-909" data-method="placement-service"></span><span data-ez-ph-id="909"></span><!-- Ezoic - gen_under_first_paragraph - under_first_paragraph --> <ol> <li><strong>STEM degree</strong> – This typically includes degrees such as Biology, Chemistry, Physics, Maths, Information and communications technology (IT or ICT), Computer science, and Economics. These degrees build advanced academic knowledge in a technical/scientific field. The content of these subjects has strong mathematical and research skills, in turn allowing further development of these skills using statistics behind machine learning models and creating academic papers based on these skills.</li> <li><strong>Data Science graduate</strong> – Universities are now offering <a href="https://www.aitimejournal.com/best-online-data-science-and-machine-learning-courses" data-wpel-link="internal">data science and machine learning courses</a> and MSc programs in Data Science which include computational and statistical approaches, allowing the implementation of these skills for solving complex problems. This allows students to gain advanced technical and practical skills in the collection, collation, and analysis of data.</li> <li><strong>Bootcamp</strong> – There are a lot of boot camps that offer 3, 6, and 9-month courses that have a list of <a href="https://www.turingcollege.com/" data-wpel-link="external" rel="follow external noopener">different courses in the field of technology</a>. It can range from Data Science, Web Development, and UX Design. Bootcamps can be difficult as you need to learn how to work in a fast-paced environment in a short amount of time, learn new skills, and do a lot of self-learning. Examples of these boot camps:</li> </ol> <ul> <li>Coursera</li> <li>Lambda School </li> <li>DataCamp</li> <li>Udacity</li> <li>Flatiron School</li> </ul> <p>These are three ways you can pave your way into Data Science, however, Data Scientists always have to continue building and practicing their skills. Learn more here in this <a href="https://www.odinschool.com/datascience-bootcamp" data-wpel-link="external" rel="follow external noopener">“Data Science Course”</a>.</p> <h2 id="fundamentals"><strong>Fundamentals</strong></h2> <p>You always have to start with the building blocks. That is with understanding everything in life. If you do not understand the core, you will struggle to build. The fundamentals in data science are topics such as statistics &amp; probability and maths.<br/><br/>When it comes to learning the fundamentals of these topics, I will always recommend <a href="https://www.khanacademy.org/" data-wpel-link="external" rel="follow external noopener">Khan Academy</a>. He got me through my secondary school exams, and into my college years and still helps me through understanding elements of my Data Science career. </p><!-- End Ezoic - gen_under_second_paragraph - under_second_paragraph --><span id="ezoic-pub-ad-placeholder-910" data-method="placement-service"></span><span data-ez-ph-id="910"></span><!-- Ezoic - gen_under_second_paragraph - under_second_paragraph --> <h2 id="specialising-in-your-chosen-programming-language"><strong>Specializing in your chosen programming language</strong></h2> <p>The next step I would recommend is choosing the correct <a href="https://www.aitimejournal.com/highest-paying-programming-languages" data-wpel-link="internal">programming language</a> for you and expanding your knowledge in that language. There are many different programming languages such as R, Python, Javascript, Ruby, C++, and more. <span id="ezoic-pub-ad-placeholder-136" class="ezoic-adpicker-ad"></span><span data-ez-ph-id="136"></span></p> <h2 id="practice-makes-perfect"><strong>Practice makes perfect!</strong></h2> <p>Once you have advanced in your programming language, it is a matter of implementing these to test your knowledge. Working on challenges is a great way to challenge yourself, and figure out what you do and do not know. Allowing you to determine what you need extra focus on, essentially finding your strengths and weaknesses. Two great examples of where you can do this are:</p><!-- End Ezoic - gen_mid_content - mid_content --><span id="ezoic-pub-ad-placeholder-911" data-method="placement-service"></span><span data-ez-ph-id="911"></span><!-- Ezoic - gen_mid_content - mid_content --> <ol> <li><a href="https://www.kaggle.com/" data-wpel-link="external" rel="follow external noopener">Kaggle</a></li> <li><a href="https://leetcode.com/" data-wpel-link="external" rel="follow external noopener">Leetcode</a></li> </ol> <h2 id="your-own-projects"><strong>Your own projects</strong></h2> <p>Once you have a good grasp of your chosen programming language through testing it in Kaggle and Leetcode challenges, you will then be able to make decisions on which approach to take in order to get the answer you wish to achieve from your data as well as being able to walk through how your code works. <br/>At this point, I would highly recommend creating your own projects and implementing these skills. You can gather data from nearly anywhere online. I would start with Kaggle and then slowly look into Government websites. You can load these data and start looking into what you would like to predict, create your hypothesis, start cleaning the data and implement machine learning algorithms and data visualizations that will either prove your hypothesis right or wrong. <span id="ezoic-pub-ad-placeholder-137" class="ezoic-adpicker-ad"></span><span data-ez-ph-id="137"></span></p> <p>This is vital for those who do not have a degree behind them. It will help you build your skills, improve them, and also present to potential recruiters what you are capable of. You can then add these to your resume/CV to showcase your data science projects.<br/></p> <h2 id="what-more-can-i-do"><strong>What more can I do?</strong></h2> <ul> <li><a href="https://github.com/" data-wpel-link="external" rel="follow external noopener">Github</a> – This is a code hosting platform that allows showcasing your work and also collaborate with others to work on projects together anywhere around the world. From personal experience, a lot of recruiters will ask for your GitHub to see your level of activity on your account, to have a gander at your code, and judge your level of knowledge. </li> <li>Personal Website – I highly recommend building a portfolio as you can include everything that you were not able to share in your resume/CV. You can make it as personal as possible and even go above and beyond creating your own website using the skills you may have learned such as HTML and CSS. </li> <li>Blogging – writing about your projects, explaining your code, and train of thought can go a long way toward understanding your code much better. You can also <a href="https://www.aitimejournal.com/best-content-marketing-courses" data-type="post" data-id="35595" data-wpel-link="internal">start blogging</a> about topics that you do not find are your strong point and start exploring how to strengthen them. There are platforms such as <a href="https://medium.com/" data-wpel-link="external" rel="follow external noopener">Medium</a> which offer a monetary incentive when blogging. AI Time Journal also offers <a href="https://www.aitimejournal.com/internship-opportunities/marketing-internships" data-wpel-link="internal">blogging internships</a>.</li> <li>Download AI Time Journal’s ebook on <a href="https://www.aitimejournal.com/how-to-get-into-data-science-in-2022" data-wpel-link="internal">How to Get Into Data Science</a> and check out our shortlist of the <a href="https://www.aitimejournal.com/resources/data-science-and-machine-learning-books" data-wpel-link="internal">best data science books</a>. </li> </ul> <p>Although this article was primarily based on how to get into Data Science, all the above will still be able to get you into the field of technology, whether it is Web Development or UX Design. <span id="ezoic-pub-ad-placeholder-138" class="ezoic-adpicker-ad"></span><span 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href="https://www.aitimejournal.com/author/nisha-arya-ahmed/" rel="author"> <img alt="" src="https://www.aitimejournal.com/wp-content/uploads/2023/03/Nisha-ahmed.png" style="border-radius: 50%;" height="100" width="100" loading="lazy"/> </a> </div> <div class="post-author-bio"> <a class="url fn n" href="https://www.aitimejournal.com/author/nisha-arya-ahmed/" rel="author"> <h4 class="author-title">Nisha Arya Ahmed</h4> </a> <div class="post-author-desc"> A young data scientist, who wishes to explore the different ways that Artificial Intelligence can help benefit the longevity of human life and conquer terminal illnesses. I would also like to explore peoples opinions on Artificial Intelligence and what they believe it brings or does not bring to the table. There are so many unanswered questions, which I would like to get more insight on. </div> </div> </div> </div> </div> <p></p> </div> <div class="entry-meta">Categories: <span class="ast-blog-single-element ast-taxonomy-container cat-links "><a href="https://www.aitimejournal.com/category/career/" rel="category tag">Career</a>, <a href="https://www.aitimejournal.com/category/data-science/" rel="category tag">Data Science</a>, <a href="https://www.aitimejournal.com/category/education/" rel="category tag">Education</a></span></div> </div><span id="ezoic-pub-ad-placeholder-710" data-method="ai-placeholders" class="ezoic-autoinsert-ad"></span><span data-ez-ph-id="710"></span><!-- .entry-content .clear --> <span id="ezoic-pub-ad-placeholder-109" class="ezoic-adpicker-ad"></span><span data-ez-ph-id="109"></span></div><span class="ezoic-autoinsert-ad ezoic-native_bottom"></span> </article><!-- #post-## --> <nav class="navigation post-navigation" role="navigation" aria-label="Post navigation"> <span class="screen-reader-text">Post navigation</span> <div class="nav-links"><div class="nav-previous"><a title="Best Platforms to Trade Cryptocurrencies (2024)" href="https://www.aitimejournal.com/best-platforms-to-trade-cryptocurremcies/" rel="prev"><span class="ast-left-arrow">←</span> Previous Post</a></div><div class="nav-next"><a title="Inspiring the Next Generation of Data Scientists with Mikaela Pisani Leal" href="https://www.aitimejournal.com/inspiring-the-next-generation-of-data-scientists/" rel="next">Next Post <span class="ast-right-arrow">→</span></a></div></div> </nav><div class="ast-single-related-posts-container ast-container--fallback"><span id="ezoic-pub-ad-placeholder-139" class="ezoic-adpicker-ad"></span><div class="ast-related-posts-title-section"> <h2 class="ast-related-posts-title"> Related Articles </h2> </div><div class="ast-related-posts-wrapper"> <article class="ast-related-post post-50218 post type-post status-publish format-standard has-post-thumbnail hentry category-business category-career category-interviews tag-ai-in-business-operations tag-automation tag-leadership"> <div class="ast-related-posts-inner-section"> <div class="ast-related-post-content"> <header class="entry-header related-entry-header"> <h3 class="ast-related-post-title entry-title"> <a href="https://www.aitimejournal.com/martin-s-bekken-ai-microsoft-transitioning-from-medicine-to-technology-business-tech-approach-ambitious-vs-conservative-companies-future-of-work-ai-roi-tailoring-ai-for-norwa/50218/" target="_self" rel="bookmark noopener noreferrer">Martin S. 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