{"id":24794,"date":"2020-07-24T06:00:00","date_gmt":"2020-07-24T13:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=24794"},"modified":"2020-07-25T10:03:41","modified_gmt":"2020-07-25T17:03:41","slug":"how-to-launch-your-data-science-career","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2020\/07\/24\/how-to-launch-your-data-science-career\/","title":{"rendered":"How to Launch Your Data Science Career"},"content":{"rendered":"\n<p>Are you interested in getting into the field of data science? We don\u2019t blame you. Data science is an exciting field that\u2019s constantly changing and developing, which gives data scientists\u2019 work endless potential.<\/p>\n\n\n\n<p>Here are six tips for ways that you can launch your data science career.<\/p>\n\n\n\n<ol type=\"1\"><li>Get comfortable with Python and SQL. Learning Python and SQL will serve you well as you dive into your data science career. For Python, there\u2019s an entire ecosystem of data science packages and tools that you should learn. To help, install the <a href=\"https:\/\/www.anaconda.com\/products\/individual\" target=\"_blank\" rel=\"noreferrer noopener\">Anaconda distribution<\/a> and check out this great resource to get you started <a href=\"https:\/\/pythonprogramming.net\/\" target=\"_blank\" rel=\"noreferrer noopener\">pythonprogramming.net<\/a>. For your first steps in SQL, we recommend you check out the great <a href=\"https:\/\/www.w3schools.com\/sql\/default.asp\" target=\"_blank\" rel=\"noreferrer noopener\">w3schools.com<\/a>.<\/li><li>Take online courses. Gone are the days when a degree was a must-have for launching a new career. These days, you can learn independently through online courses and get equipped with the skills and know-how you\u2019ll need to succeed in data science. Look into the great <a href=\"https:\/\/en.wikipedia.org\/wiki\/Andrew_Ng\" target=\"_blank\" rel=\"noreferrer noopener\">Andrew Ng<\/a>. Gain an understanding of the basic concepts of computer science, statistics and math&#8211;and you\u2019ll be good to go. Some recommended courses and resources you can look into include:<\/li><\/ol>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-flow wp-block-group-is-layout-flow\">\n<ul type=\"1\"><li><a rel=\"noreferrer noopener\" href=\"https:\/\/www.coursera.org\/learn\/machine-learning\" target=\"_blank\">Machine Learning by Stanford University<\/a><\/li><li><a rel=\"noreferrer noopener\" href=\"https:\/\/www.coursera.org\/specializations\/deep-learning\" target=\"_blank\">Deep Learning Specialization with Andrew Ng<\/a><\/li><li><a rel=\"noreferrer noopener\" href=\"https:\/\/www.coursera.org\/specializations\/statistics-with-python\" target=\"_blank\">Statistics with Python Specialization from the University of Michigan<\/a><\/li><li><a rel=\"noreferrer noopener\" href=\"https:\/\/brilliant.org\/\" target=\"_blank\">Brilliant.org<\/a><\/li><\/ul>\n<\/div><\/div>\n\n\n\n<ol type=\"1\" start=\"3\"><li>Compete in Kaggle. Building a portfolio is essential for aspiring data scientists the same way it\u2019s essential for artists. With <a href=\"https:\/\/www.kaggle.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Kaggle<\/a>, you can do just that, as it is the world\u2019s largest data science community, offering tools and resources that can help you jumpstart your data science career. Kaggle also hosts competitions where data scientists around the world can compete to produce the best models for predicting and describing data. Want to compete? Here is a tip: Don\u2019t give up on a competition until you are in the top 10% of submissions and have your name up there on the leaderboard. This will force you to push yourself, and as a result, you\u2019ll become familiarized with the best practices of the domain and the most modern tools and frameworks.<\/li><li>Familiarize yourself with the full stack developer world and toolkit. Data scientists spend most of their time at work writing code. But data scientists aren\u2019t just coders&#8211;they\u2019re technologists. To write good code and make a stronger impact, it will serve you well to get closely familiar with the world of technology and the best methods for doing things.<\/li><li>Listen to podcasts and read tech blogs. Podcasts and technology blogs offer a fantastic way to stay up-to-date with everything that\u2019s happening in the world of data science. Podcasts also offer a great way to hear from some of the greatest minds in the field about the most pressing issues in the industry and about what they are currently working on and thinking about. You might even encounter a story from someone who has solved a problem similar to one that you are working on, and it will give you some fresh ideas and insights. This is what happened to us when we first started building our feature store, which you can read about <a href=\"https:\/\/www.bigabid.com\/blog\/data-the-importance-of-having-a-feature-store\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>.<\/li><\/ol>\n\n\n\n<p>Want to know where to start? The number of great data science blogs can be overwhelming, but a great place to start is with <a href=\"https:\/\/medium.com\/kaggle-blog\" target=\"_blank\" rel=\"noreferrer noopener\">Kaggle blog<\/a>. <\/p>\n\n\n\n<p>As of this writing, these data science podcasts are active and still in production. Start deep in the archives and work your way up:<\/p>\n\n\n\n<ul><li><a rel=\"noreferrer noopener\" href=\"https:\/\/dataskeptic.com\/\" target=\"_blank\">Data Skeptic<\/a><\/li><li><a rel=\"noreferrer noopener\" href=\"http:\/\/lineardigressions.com\" target=\"_blank\">Linear Digressions<\/a><\/li><li><a rel=\"noreferrer noopener\" href=\"https:\/\/twimlai.com\/\" target=\"_blank\">This Week in Machine Learning &amp; Artificial Intelligence (TWiML&amp;AI)<\/a><\/li><\/ul>\n\n\n\n<ol type=\"1\" start=\"6\"><li>Talk to people. Join forums and other online groups where data scientists are talking with one another. You will find that most data scientists are facing the same types of issues. Talking with others and understanding how they have solved various problems they have faced will help you learn and move forward.<\/li><\/ol>\n\n\n\n<p>We live in an exciting time where there is more access than ever before to specialized information that can help us boost our career. This applies to people seeking to launch a career in data science, too. With courses, groups, competitions, and information that are all easily accessible on the web&#8211;and with practice and dedication&#8211;you can acquire the skills you need to start a successful career as a data scientist.<\/p>\n\n\n\n<p><strong>About the Authors<\/strong><\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignleft size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"100\" height=\"100\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2020\/07\/Ido-Z.jpeg\" alt=\"\" class=\"wp-image-24795\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2020\/07\/Ido-Z.jpeg 100w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2020\/07\/Ido-Z-50x50.jpeg 50w\" sizes=\"(max-width: 100px) 100vw, 100px\" \/><\/figure><\/div>\n\n\n\n<p><em><a rel=\"noreferrer noopener\" href=\"https:\/\/www.linkedin.com\/in\/ido-zehori\/\" target=\"_blank\">Ido Zehori<\/a> is the Data Science Team Leader and <a rel=\"noreferrer noopener\" href=\"https:\/\/www.linkedin.com\/in\/mia-dor-672171155\/\" target=\"_blank\">Mia Dor<\/a> is a Data Scientist, Research Architect at <a rel=\"noreferrer noopener\" href=\"https:\/\/www.bigabid.com\/\" target=\"_blank\">Bigabid<\/a>, a data science company that has developed a second-generation DSP optimized for in-app advertising&nbsp;user acquisition &amp; re-engagement for mobile app developers.&nbsp;<\/em><\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignleft size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"100\" height=\"100\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2020\/07\/Mia-Dor.jpg\" alt=\"\" class=\"wp-image-24796\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2020\/07\/Mia-Dor.jpg 100w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2020\/07\/Mia-Dor-50x50.jpg 50w\" sizes=\"(max-width: 100px) 100vw, 100px\" \/><\/figure><\/div>\n\n\n\n<p><em>Sign up for the free insideBIGDATA&nbsp;<a rel=\"noreferrer noopener\" href=\"http:\/\/insidebigdata.com\/newsletter\/\" target=\"_blank\">newsletter<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Are you interested in getting into the field of data science? We don\u2019t blame you. Data science is an exciting field that\u2019s constantly changing and developing, which gives data scientists\u2019 work endless potential. Here are six tips for ways that you can launch your data science career.<\/p>\n","protected":false},"author":10513,"featured_media":22731,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,65,182,90,87,180,67,56,77,1],"tags":[437,324,133,264,430,277,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to Launch Your Data Science Career - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2020\/07\/24\/how-to-launch-your-data-science-career\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Launch Your Data Science Career - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"Are you interested in getting into the field of data science? 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As a long-time data science practitioner, my language of choice has been R, so I relished the opportunity to dig into\u2026","rel":"","context":"In &quot;Book Review&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2017\/10\/Python-Data-Science-Handbook.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":18392,"url":"https:\/\/insidebigdata.com\/2017\/07\/20\/using-python-drive-new-insights-innovation-big-data\/","url_meta":{"origin":24794,"position":2},"title":"Using Python to Drive New Insights and Innovation from Big Data","date":"July 20, 2017","format":false,"excerpt":"In a recent white paper \"Management's Guide - Unlocking the Power of Data Science & Machine Learning with Python,\" ActiveState - the Open Source Language Company - provides a summary of Python\u2019s attributes in a number of important areas, as well as considerations for implementing Python to drive new insights\u2026","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2017\/07\/ActiveState_cover.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":24197,"url":"https:\/\/insidebigdata.com\/2020\/03\/31\/video-highlights-python-machine-learning-tutorials\/","url_meta":{"origin":24794,"position":3},"title":"Video Highlights: Python Machine Learning Tutorials","date":"March 31, 2020","format":false,"excerpt":"With COVID-19 keeping everyone indoors, this is the perfect opportunity to brush up your data science skills. Data science is a field that is booming and is playing a huge role in society. Instead of just reading a book, in this regular feature column, I will provide some great video\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2019\/04\/DataScience_shutterstock_1054542323.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":6597,"url":"https:\/\/insidebigdata.com\/2014\/01\/06\/python-data-science\/","url_meta":{"origin":24794,"position":4},"title":"Data Sciencie 101: Python for Data Science","date":"January 6, 2014","format":false,"excerpt":"In the video below, Field Cady of Think Big Analytics presents a compelling introduction to using the Python programming language for data science applications.","rel":"","context":"In &quot;Big Data Software&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":13621,"url":"https:\/\/insidebigdata.com\/2015\/08\/31\/data-science-101-an-introduction-to-scikit-learn-machine-learning-in-python\/","url_meta":{"origin":24794,"position":5},"title":"Data Science 101: An Introduction to scikit-learn &#8211; Machine Learning in Python","date":"August 31, 2015","format":false,"excerpt":"The tutorial presentation below offers an introduction to the scikit-learn package and to the central concepts of Machine Learning.","rel":"","context":"In &quot;Data Science&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/24794"}],"collection":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/users\/10513"}],"replies":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/comments?post=24794"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/24794\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media\/22731"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=24794"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=24794"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=24794"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}