{"id":11016,"date":"2019-09-27T16:10:12","date_gmt":"2019-09-27T16:10:12","guid":{"rendered":"https:\/\/keblog.demoapp.xyz\/?p=11016"},"modified":"2022-11-18T16:36:00","modified_gmt":"2022-11-18T09:36:00","slug":"how-to-become-a-data-scientist","status":"publish","type":"post","link":"https:\/\/neo-blog.kalibrr.com\/blog\/how-to-become-a-data-scientist","title":{"rendered":"How to Become a Data Scientist"},"content":{"rendered":"<p dir=\"ltr\">The world now revolves around millions of data. But if you think about it, is data worth anything without the expertise of Data Scientists?<\/p>\n<p dir=\"ltr\">The rapid upsurge of Big Data has made it mandatory for organizations and enterprises to gather relevant industry data. This, in turn, pushes them to invest in the right talent who can transform that data into something meaningful. And that&#8217;s where Data Scientists come in.<\/p>\n<p dir=\"ltr\">\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_26 counter-hierarchy\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\">TOPICS<\/p>\n<span class=\"ez-toc-title-toggle\"><a class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" style=\"display: none;\"><label for=\"item\" aria-label=\"Table of Content\"><i class=\"ez-toc-glyphicon ez-toc-icon-toggle\"><\/i><\/label><input type=\"checkbox\" id=\"item\"><\/a><\/span><\/div>\n<nav><ul class=\"ez-toc-list ez-toc-list-level-1\"><li class=\"ez-toc-page-1 ez-toc-heading-level-2\"><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/neo-blog.kalibrr.com\/blog\/how-to-become-a-data-scientist\/#Who_is_a_Data_Scientist\" title=\"Who is a Data Scientist?\">Who is a Data Scientist?<\/a><\/li><li class=\"ez-toc-page-1 ez-toc-heading-level-2\"><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/neo-blog.kalibrr.com\/blog\/how-to-become-a-data-scientist\/#How_to_Become_a_Data_Scientist\" title=\"How to Become a Data Scientist?\">How to Become a Data Scientist?<\/a><ul class=\"ez-toc-list-level-3\"><li class=\"ez-toc-heading-level-3\"><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/neo-blog.kalibrr.com\/blog\/how-to-become-a-data-scientist\/#1_Prepare_yourself_for_Data_Science\" title=\"1. Prepare yourself for Data Science.\">1. Prepare yourself for Data Science.<\/a><\/li><li class=\"ez-toc-page-1 ez-toc-heading-level-3\"><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/neo-blog.kalibrr.com\/blog\/how-to-become-a-data-scientist\/#2_Obtain_a_Graduate_Degree\" title=\"2. Obtain a Graduate Degree.\">2. Obtain a Graduate Degree.<\/a><\/li><li class=\"ez-toc-page-1 ez-toc-heading-level-3\"><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/neo-blog.kalibrr.com\/blog\/how-to-become-a-data-scientist\/#3_Get_a_job\" title=\"3. Get a job.\">3. Get a job.<\/a><\/li><li class=\"ez-toc-page-1 ez-toc-heading-level-3\"><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/neo-blog.kalibrr.com\/blog\/how-to-become-a-data-scientist\/#4_Complete_your_Postgraduate_Studies\" title=\"4. Complete your Postgraduate Studies.\">4. Complete your Postgraduate Studies.<\/a><\/li><li class=\"ez-toc-page-1 ez-toc-heading-level-3\"><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/neo-blog.kalibrr.com\/blog\/how-to-become-a-data-scientist\/#5_Dont_stop_learning\" title=\"5. Don&#8217;t stop learning.\">5. Don&#8217;t stop learning.<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2 dir=\"ltr\"><span class=\"ez-toc-section\" id=\"Who_is_a_Data_Scientist\"><\/span><b id=\"docs-internal-guid-1a5aee50-7fff-bdf7-a60e-5f0b903e56a4\">Who is a Data Scientist?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p dir=\"ltr\">To put it simply, a Data Scientist is an analytical data expert who combines all qualities of a scientist, an analyst, a mathematician, a statistician, and an explorer-cum-trend spotter. By using their technical knowledge and skills in these multiple domains, Data Scientists exploit, analyze, and interpret data to find solutions to diverse and complex problems. They are professionals who have the expertise to implement pioneering Big Data and Machine Learning technologies and tools to gain valuable insights hidden within large datasets. And the cherry on top is that Data Scientists combine the best of both worlds &#8211; Business and IT. These are the reasons why they are one of the most highly sought after and well-paid professionals in the industry today.<\/p>\n<p dir=\"ltr\">Organizations and companies &#8220;need&#8221; Data Scientists to dig deep into data and uncover meaningful insights that can contribute to data-driven decision-making. As more and more companies realize the potential of Big Data, they are creating the demand for Data Scientists, thereby further driving up their professional value. Not for nothing did <a href=\"https:\/\/hbr.org\/2012\/10\/data-scientist-the-sexiest-job-of-the-21st-century\" target=\"_blank\" rel=\"noopener\">HBR declare the job of a Data Scientist<\/a> as &#8220;The Sexiest Job of the 21st Century!&#8221;<\/p>\n<p dir=\"ltr\">Tech giants like IBM, Microsoft, Oracle, Google, Apple, Deloitte, MuSigma, Accenture, Amazon, and Facebook are some of the top recruiters of Data Scientists. According to a <a href=\"https:\/\/www.linkedin.com\/pulse\/how-many-data-scientists-shortage-gregory-piatetsky-shapiro\/\" target=\"_blank\" rel=\"noopener\">2018 LinkedIn report<\/a>, while the US is the largest market for Data Scientists, there is also considerable demand for Data Scientists in the UK, France, Germany, and India.<\/p>\n<p dir=\"ltr\">So, are you interested in taking advantage of this golden opportunity and contribute to the Data Science community? If so, here&#8217;s a simple guide to becoming a Data Scientist!<\/p>\n<p dir=\"ltr\">\n<h2 dir=\"ltr\"><span class=\"ez-toc-section\" id=\"How_to_Become_a_Data_Scientist\"><\/span><b id=\"docs-internal-guid-7ebaad18-7fff-286d-4956-f586cc0a9355\">How to Become a Data Scientist?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p dir=\"ltr\">The job profile of a Data Scientist is highly diverse and versatile. Hence, you must acquire many different skills in different domains to become a <a href=\"https:\/\/www.dekhnews.com\/how-to-become-a-successful-data-scientist\/\" target=\"_blank\" rel=\"noopener\">successful Data Scientist<\/a>.<\/p>\n<h3 dir=\"ltr\"><span class=\"ez-toc-section\" id=\"1_Prepare_yourself_for_Data_Science\"><\/span><b id=\"docs-internal-guid-7ebaad18-7fff-286d-4956-f586cc0a9355\">1. Prepare yourself for Data Science.<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p dir=\"ltr\">It&#8217;s\u00a0never too soon to start preparing yourself for a career in Data Science. Even before you start your graduate\/postgraduate studies, you can begin acquiring the foundational skills by pursuing <a href=\"https:\/\/www.simplilearn.com\/big-data-and-analytics\/senior-data-scientist-masters-program-training\" target=\"_blank\" rel=\"noopener\">Data Science Courses<\/a>. For instance, you can master one or more programming languages most commonly used in Data Science such as R, Python, and Java. You can also brush up on Applied Mathematics and Statistics &#8211; both are an integral part of Data Science. An early headstart will not only help you to ease into Data Science, but it will also help you determine if Data Science is the right career fit for you.<\/p>\n<h3 dir=\"ltr\"><span class=\"ez-toc-section\" id=\"2_Obtain_a_Graduate_Degree\"><\/span><b id=\"docs-internal-guid-7ebaad18-7fff-286d-4956-f586cc0a9355\">2. Obtain a Graduate Degree.<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p dir=\"ltr\">Generally, a degree in Computer Science, Mathematics, Statistics, Information Technology, or Data Science\u00a0are best-suited specializations for a career in Data Science. No matter which specialization you choose to complete your graduate-level studies in, you should also simultaneously hone your knowledge and skills in coding, database architectures, data munging, data ingestion, data visualization, SQL\/MySQL, and ML and AI. You could also look for graduate-level internships in Data Science or related fields for real-world job experiences.<\/p>\n<h3 dir=\"ltr\"><span class=\"ez-toc-section\" id=\"3_Get_a_job\"><\/span><b id=\"docs-internal-guid-7ebaad18-7fff-286d-4956-f586cc0a9355\">3. Get a job.<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p dir=\"ltr\">Although this step can follow after the completion of your postgraduate degree, you may choose to get an entry-level job before you go for postgraduate studies. Many companies hire graduate-level fresh graduates\u00a0to fill up entry-level Data Science jobs like Junior Data Analyst, or Junior Data Scientist, or Associate Data Scientist, to name a few. Also, having a few years of work experience is often preferred by reputed companies.<\/p>\n<h3 dir=\"ltr\"><span class=\"ez-toc-section\" id=\"4_Complete_your_Postgraduate_Studies\"><\/span><b id=\"docs-internal-guid-7ebaad18-7fff-286d-4956-f586cc0a9355\">4. Complete your Postgraduate Studies.<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p dir=\"ltr\">Advanced degrees are highly valued in the field of Data Science. The higher your educational degree, the higher the compensation you can get. The majors for postgraduate studies are similar to that of graduate-level studies (Computer Science\/Mathematics\/Statistics\/Information Technology\/Data Science). However, certain companies also accept STEM degrees like Engineering, Biotechnology, etc. After completing your postgraduate studies, you can also opt for a Ph.D. in a chosen discipline.<\/p>\n<h3 dir=\"ltr\"><span class=\"ez-toc-section\" id=\"5_Dont_stop_learning\"><\/span><b id=\"docs-internal-guid-7ebaad18-7fff-286d-4956-f586cc0a9355\">5. Don&#8217;t stop learning.<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p dir=\"ltr\">Data Science is an emerging field. New advancements are being made every day. Hence, you must always try to stay updated with the latest trends and happenings in the Data Science community. Read books, articles, journals, newsletters, and blogs on Data Science and related fields to boost your knowledge.<\/p>\n<p dir=\"ltr\">Apart from obtaining degrees and getting a job, here are some skills you must acquire to become a Data Scientist:<\/p>\n<ul>\n<li dir=\"ltr\">\n<p dir=\"ltr\">Mathematics (Matrices and Linear Algebra Functions, Hash Functions and Binary Tree, Relational Algebra, Database Basics, Extract Transform Load, and Reporting vs. Business Intelligence vs. Analytics)<\/p>\n<\/li>\n<li dir=\"ltr\">\n<p dir=\"ltr\">Statistics (Descriptive Statistics, Exploratory Data Analysis, Percentiles and Outliers, Probability Theory, Bayes\u2019 Theorem, Random Variables, Cumulative Distribution function (CDF), Skewness, etc.)<\/p>\n<\/li>\n<li dir=\"ltr\">\n<p dir=\"ltr\">Machine Learning and Artificial Intelligence (Supervised Learning, Unsupervised Learning, Reinforcement Learning including Linear Regression, Logistic Regression, Decision Tree, Random Forest, K Nearest Neighbor, k-means clustering, etc.).<\/p>\n<\/li>\n<\/ul>\n<p>You can also consider taking up professional certifications in Data Science such as Data Science for Python, Data Science with R Programming, <a href=\"https:\/\/www.sas.com\/en_us\/certification\/credentials\/advanced-analytics\/advanced-analytics-professional.html\" target=\"_blank\" rel=\"noopener\">SAS Certified Advanced Analytics Professional<\/a>, and <a href=\"https:\/\/www.microsoft.com\/en-us\/learning\/azure-data-scientist.aspx\" target=\"_blank\" rel=\"noopener\">Microsoft Certified: Azure Data Scientist Associate<\/a>, to name a few.<b> <\/b><\/p>\n<p>&nbsp;<\/p>\n<p>To conclude, companies of every size and across various sectors of the industry are using data to enhance business operations, increase revenue, and boost customer satisfaction. So, everyone in the game is always on the hunt for talented <a href=\"https:\/\/www.techsling.com\/2018\/08\/6-useful-tips-for-aspiring-data-science-professionals\/\" target=\"_blank\" rel=\"noopener\">Data Science professionals<\/a> who can efficiently handle and manage Big Data. Looking at the pace at which jobs in Data Science and Big Data are growing, it is safe to say that the future for Data Scientists is extremely promising.<\/p>\n<p>&nbsp;<\/p>\n<hr \/>\n<p dir=\"ltr\"><b id=\"docs-internal-guid-e25cc2da-7fff-b9bf-3e02-24fa404efb43\">K<\/b><em>alibrr is a technology company that aims to transform how candidates find jobs and how companies hire talent. Placing the candidate experience at the center of everything it does, the company continues to attract the best talent from all over, with over 2.5 million professionals and counting. Kalibrr ultimately connects these talents to companies in search of their next generation of leaders.<\/em><\/p>\n<p dir=\"ltr\"><b id=\"docs-internal-guid-e25cc2da-7fff-b9bf-3e02-24fa404efb43\">T<\/b><em>he only end-to-end recruitment solutions provider in Southeast Asia, Kalibrr is headquartered in Makati, Philippines, with offices in San Francisco, California and Jakarta, Indonesia. Established in 2012, it has served over 18,000 clients and is backed by some of the world\u2019s most powerful start-up incubators and venture capitalists. These include Y Combinator, Omidyar Network, Patamar Capital, Wavemaker Partners, and Kickstart Ventures.<\/em><\/p>\n<p dir=\"ltr\"><b id=\"docs-internal-guid-a6c6ae74-7fff-eb17-c719-3cdd6dc08f0c\">N<\/b><em>eed help finding that dream job? <a href=\"https:\/\/www.kalibrr.com\/candidate\/signup\" target=\"_blank\" rel=\"noopener\">Sign up at Kalibrr<\/a> and be connected to thousands of employers! For application help and additional professional advice, follow Kalibrr on <a href=\"https:\/\/www.facebook.com\/Kalibrr\" target=\"_blank\" rel=\"noopener\">Facebook<\/a>, <a href=\"https:\/\/twitter.com\/kalibrr\" target=\"_blank\" rel=\"noopener\">Twitter<\/a>, <a href=\"https:\/\/www.linkedin.com\/company\/kalibrr-technology-ventures\/\" target=\"_blank\" rel=\"noopener\">LinkedIn<\/a>, and <a href=\"https:\/\/www.instagram.com\/kalibrr\/\" target=\"_blank\" rel=\"noopener\">Instagram<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The world now revolves around millions of data. But if you think about it, is data worth anything without the expertise of Data Scientists? The rapid upsurge of Big Data has made it mandatory for organizations and enterprises to gather relevant industry data. This, in turn, pushes them to invest in the right talent who [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":11017,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[18],"tags":[83,109,118,120,121],"_links":{"self":[{"href":"https:\/\/neo-blog.kalibrr.com\/blog\/wp-json\/wp\/v2\/posts\/11016"}],"collection":[{"href":"https:\/\/neo-blog.kalibrr.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/neo-blog.kalibrr.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/neo-blog.kalibrr.com\/blog\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/neo-blog.kalibrr.com\/blog\/wp-json\/wp\/v2\/comments?post=11016"}],"version-history":[{"count":0,"href":"https:\/\/neo-blog.kalibrr.com\/blog\/wp-json\/wp\/v2\/posts\/11016\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/neo-blog.kalibrr.com\/blog\/wp-json\/wp\/v2\/media\/11017"}],"wp:attachment":[{"href":"https:\/\/neo-blog.kalibrr.com\/blog\/wp-json\/wp\/v2\/media?parent=11016"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/neo-blog.kalibrr.com\/blog\/wp-json\/wp\/v2\/categories?post=11016"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/neo-blog.kalibrr.com\/blog\/wp-json\/wp\/v2\/tags?post=11016"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}