{"id":78,"date":"2021-07-09T01:07:46","date_gmt":"2021-07-09T01:07:46","guid":{"rendered":"https:\/\/wordpress-288344-1043469.cloudwaysapps.com\/the-top-5-marketing-tips-copy-copy-2-copy-copy\/"},"modified":"2024-08-16T05:34:08","modified_gmt":"2024-08-16T05:34:08","slug":"are-you-cut-out-to-be-a-data-scientist","status":"publish","type":"post","link":"https:\/\/www.pickl.ai\/blog\/are-you-cut-out-to-be-a-data-scientist\/","title":{"rendered":"What is Data Scientist Eligibility Criteria?"},"content":{"rendered":"<p><span style=\"font-weight: 400;\"><strong>Summary:<\/strong> <\/span><span style=\"font-weight: 400;\">To become a data scientist, you need problem-solving skills, analytical prowess, and programming knowledge. A background in math or engineering helps, but various disciplines can lead to success in this multidimensional field.<\/span><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/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:\/\/www.pickl.ai\/blog\/are-you-cut-out-to-be-a-data-scientist\/#Introduction\" >Introduction<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.pickl.ai\/blog\/are-you-cut-out-to-be-a-data-scientist\/#Appetite_for_problems\" >Appetite for problems<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.pickl.ai\/blog\/are-you-cut-out-to-be-a-data-scientist\/#Analytical_Prowess\" >Analytical Prowess<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.pickl.ai\/blog\/are-you-cut-out-to-be-a-data-scientist\/#Drive_and_soft_skills\" >Drive and soft skills<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.pickl.ai\/blog\/are-you-cut-out-to-be-a-data-scientist\/#Frequently_Asked_Questions\" >Frequently Asked Questions<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.pickl.ai\/blog\/are-you-cut-out-to-be-a-data-scientist\/#What_qualifications_need_to_become_a_data_scientist\" >What qualifications need to become a data scientist?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.pickl.ai\/blog\/are-you-cut-out-to-be-a-data-scientist\/#Do_I_need_advanced_math_skills_to_be_a_data_scientist\" >Do I need advanced math skills to be a data scientist?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.pickl.ai\/blog\/are-you-cut-out-to-be-a-data-scientist\/#Is_programming_essential_for_a_data_science_career\" >Is programming essential for a data science career?<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.pickl.ai\/blog\/are-you-cut-out-to-be-a-data-scientist\/#Conclusion\" >Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n<h2 id=\"introduction\"><span class=\"ez-toc-section\" id=\"Introduction\"><\/span><b>Introduction<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><i><span style=\"font-weight: 400;\">\u201cData science is meant for engineers\u201d is as untrue as \u201cData Science is for everyone\u201d. There is a way to quickly check if you are cut out to be a data scientist.<\/span><\/i><\/p>\n<p><a href=\"https:\/\/pickl.ai\/blog\/data-science-career-counseling-coach-coaching\/\"><span style=\"font-weight: 400;\">Careers in data science<\/span><\/a><span style=\"font-weight: 400;\"> are highly lucrative and are widely considered to be among the most sought-after ones today. From engineering undergrads to math, economics, and even humanities scholars, the era of data has witnessed individuals from various disciplines making a beeline for the domain.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Data science often associated with multidisciplinarity since it relies on myriad branches of study.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">From engineering to policy-making, sociology to biology, adeptness in data science has witnessed a continuous increase in demand for the last few years. Thus, if you are drawn to the discipline, do not worry about your educational background or job prospects since <\/span><a href=\"https:\/\/pickl.ai\/blog\/what-is-data-science-comprehensive-guide\/\"><span style=\"font-weight: 400;\">data science<\/span><\/a><span style=\"font-weight: 400;\"> has recently become multidisciplinary.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Although it is unfair to label it as \u201cnot everybody\u2019s cup of tea,\u201d there are a set of attributes that bode well for a career in the field.<\/span><\/p>\n<h2 id=\"appetite-for-problems\"><span class=\"ez-toc-section\" id=\"Appetite_for_problems\"><\/span><b>Appetite for problems<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-13818\" src=\"https:\/\/pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image2.jpg\" alt=\"Appetite for problems\" width=\"1000\" height=\"333\" srcset=\"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image2.jpg 1000w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image2-300x100.jpg 300w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image2-768x256.jpg 768w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image2-110x37.jpg 110w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image2-200x67.jpg 200w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image2-380x127.jpg 380w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image2-255x85.jpg 255w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image2-550x183.jpg 550w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image2-800x266.jpg 800w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image2-150x50.jpg 150w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">An aptitude for solving problems considered a must for those considering a career in data science since there are distinctive stages in which a particular question formulated and then addressed.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This includes choosing suitable <\/span><a href=\"https:\/\/pickl.ai\/blog\/top-10-data-science-tools-for-2024\/\"><span style=\"font-weight: 400;\">tools<\/span><\/a><span style=\"font-weight: 400;\"> and using them to build a working model, validating and testing it on data, and iterating over the process with apt adjustments multiple times. This may get too onerous if there is a dearth of enthusiasm.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At the same time, it is fallacious to believe that data analysts spend most of their time on visualisation and deriving final insights in the quintessential corporate setup. <\/span><a href=\"https:\/\/en.wikipedia.org\/wiki\/Data_cleansing\"><span style=\"font-weight: 400;\">Data cleansing<\/span><\/a><span style=\"font-weight: 400;\"> is arguably the most essential part of the process, while the other stages follow later on.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This one exercise largely drives the decision-making process and bound to get monotonous if the problem isn\u2019t understand appropriately.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This is where <\/span><a href=\"https:\/\/en.wikipedia.org\/wiki\/Business_acumen\"><span style=\"font-weight: 400;\">business acumen<\/span><\/a><span style=\"font-weight: 400;\"> needs to be mentioned as well. A thorough understanding of the industry is indispensable, even if it may seem that a data scientist only crunches insights and implements algorithms.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Economics and its allied subject, econometrics, find wide application and are reputed to arm a prospective candidate with logical thinking and sound decision-making.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For example, a data professional in healthcare cannot seamlessly transition into a similar role in the shoe industry unless she has a deep understanding of the latter&#8217;s intricacies. Revealing the right trends is outright difficult for the unacquainted.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This enables data science to supplement, rather than supplant, your previous knowledge from any given undergrad course.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">While social scientists bank on public surveys to test and validate hypotheses and mould new governance policies, managers utilise previous sales data to forecast trends and adapt their next product or marketing strategy to their customers&#8217; whims. These are just a few use cases that demonstrate the domain-agnostic nature of data science!<\/span><\/p>\n<h2 id=\"analytical-prowess\"><span class=\"ez-toc-section\" id=\"Analytical_Prowess\"><\/span><b>Analytical Prowess<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-13820\" src=\"https:\/\/pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image1.jpg\" alt=\"Analytical Prowess\" width=\"1000\" height=\"333\" srcset=\"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image1.jpg 1000w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image1-300x100.jpg 300w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image1-768x256.jpg 768w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image1-110x37.jpg 110w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image1-200x67.jpg 200w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image1-380x127.jpg 380w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image1-255x85.jpg 255w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image1-550x183.jpg 550w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image1-800x266.jpg 800w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image1-150x50.jpg 150w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">An analytical mindset augurs well for the discipline since statistics and probability are the basic building blocks of the concepts that one must understand and be thorough with to build a career in data science.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A common misinterpretation is to believe that one has to be a math whiz or have an engineering\/technical background to do so. With the right motivation and instruction, you can train yourself to grasp these subjects better.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">While it may seem like a steep learning curve, most ideas are based upon the matter one acquires in secondary and higher secondary schooling. The sheer fascination for making sense of numbers is monumental for those pursuing a career in data science. Hence, do not let your hesitation hinder you from venturing into data science.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The same holds for technical skills. <\/span><a href=\"https:\/\/pickl.ai\/blog\/best-programming-language-for-data-science\/\"><span style=\"font-weight: 400;\">Programming languages<\/span><\/a><span style=\"font-weight: 400;\"> like <\/span><a href=\"https:\/\/pickl.ai\/blog\/python-or-r-which-one-should-you-learn\/\"><span style=\"font-weight: 400;\">Python, R<\/span><\/a><span style=\"font-weight: 400;\">, Scala, SAS, Julia, etc., can be learned at any stage of one\u2019s academic journey.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Being proficient in <\/span><a href=\"https:\/\/pickl.ai\/blog\/gigantic-python\/\"><span style=\"font-weight: 400;\">Python<\/span><\/a><span style=\"font-weight: 400;\"> is highly regarded owing to its lucidity, multifaceted usage, and ability to deal with a wide range of problems. It is being widely adopt as a \u201cfirst\u201d programming language.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">However, a popular misconception urges beginners to <\/span><i><span style=\"font-weight: 400;\">know everything<\/span><\/i><span style=\"font-weight: 400;\"> before applying what they have learned. Working knowledge of Python goes a long way in the journey; it\u2019s essential to <\/span><i><span style=\"font-weight: 400;\">\u201cdo to understand\u201d<\/span><\/i><span style=\"font-weight: 400;\">, to quote Confucius. One does not need to be a programmer to pursue a career in data science.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Many learn these languages autodidactically as they are still not part of most college courses&#8217; curriculum. The web is a repository of a vast amount of resources and comes in handy in various situations. This explains why many data science professionals swear by the adage, \u201cGoogle Search is my best friend!\u201d<\/span><\/p>\n<h2 id=\"drive-and-soft-skills\"><span class=\"ez-toc-section\" id=\"Drive_and_soft_skills\"><\/span><b>Drive and soft skills<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-13819\" src=\"https:\/\/pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image4.jpg\" alt=\"Drive and soft skills\" width=\"1000\" height=\"333\" srcset=\"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image4.jpg 1000w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image4-300x100.jpg 300w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image4-768x256.jpg 768w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image4-110x37.jpg 110w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image4-200x67.jpg 200w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image4-380x127.jpg 380w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image4-255x85.jpg 255w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image4-550x183.jpg 550w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image4-800x266.jpg 800w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2021\/07\/image4-150x50.jpg 150w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Curiosity is indispensable for learning any imaginable skill. This is especially important in data science, where principles and methodologies tend to become abstract and thus unappealing to those who do not <\/span><i><span style=\"font-weight: 400;\">crave making data their own<\/span><\/i><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Perseverance is also an underappreciated skill, as projects often stretch long and tend to deviate from the stipulated problem.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Adaptability bodes well, too, since new trends and tools keep emerging constantly. One has to keep learning to enhance one&#8217;s existing skills and to endow oneself with requisite tools that may become imminent and even replace the existing ones, given those without <\/span><i><span style=\"font-weight: 400;\">cravings<\/span><\/i><span style=\"font-weight: 400;\"> for changing goals and new market requirements.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The art of storytelling and sound communication is essential since analysts often need to communicate their findings to those from departments like sales, management, etc., who may be unable to make sense of the <\/span><i><span style=\"font-weight: 400;\">process<\/span><\/i><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Usually, they do not seek to know <\/span><i><span style=\"font-weight: 400;\">how<\/span><\/i><span style=\"font-weight: 400;\"> and <\/span><i><span style=\"font-weight: 400;\">why<\/span><\/i><span style=\"font-weight: 400;\"> a particular procedure was followed whilst being content only with the final findings. Therefore, effective presentation is a crucial requirement for those considering a career in data science.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It is perfectly normal to find these points intimidating initially. The number of data science applications and allied fields may seem bewildering, with <\/span><a href=\"https:\/\/pickl.ai\/blog\/what-is-machine-learning\/\"><span style=\"font-weight: 400;\">machine learning<\/span><\/a><span style=\"font-weight: 400;\"> and <\/span><a href=\"https:\/\/pickl.ai\/blog\/role-of-artificial-intelligence-in-cybersecurity\/\"><span style=\"font-weight: 400;\">artificial intelligence<\/span><\/a><span style=\"font-weight: 400;\"> getting the most limelight from international media and experts. There are buzzwords like regression, classification, clustering, etc., and the list goes on and on.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At times, it would seen that it isn\u2019t a dearth of data science resources that is disconcerting, but their sheer amount, which poses an unending confusion. One\u2019s choices make them believe that their chance at a career in data science stands jeopardised.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This is where <\/span><a href=\"https:\/\/pickl.ai\/\"><span style=\"font-weight: 400;\">Pickl.AI<\/span><\/a><span style=\"font-weight: 400;\"> can join your data science journey! Learn it all in one place, in a fun and interactive way.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">While you\u2019d receive industry-relevant knowledge from seasoned data scientists. You will also\u00a0 equipped with an appreciation of data\u2019s power and its pertinence in making an argument, not just another opinion. So, what are you waiting for?<\/span><\/p>\n<h2 id=\"frequently-asked-questions\"><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span><b>Frequently Asked Questions<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"what-qualifications-need-to-become-a-data-scientist\"><span class=\"ez-toc-section\" id=\"What_qualifications_need_to_become_a_data_scientist\"><\/span><b>What qualifications need to become a data scientist?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Becoming a data scientist typically requires a strong statistics, programming, and data analysis background. While degrees in engineering, mathematics, or related fields are common. Individuals from various disciplines with the right skills and passion can also succeed.<\/span><\/p>\n<h3 id=\"do-i-need-advanced-math-skills-to-be-a-data-scientist\"><span class=\"ez-toc-section\" id=\"Do_I_need_advanced_math_skills_to_be_a_data_scientist\"><\/span><b>Do I need advanced math skills to be a data scientist?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">While advanced math skills are beneficial, they are not mandatory. Basic knowledge of statistics and probability is crucial, and many data scientists develop their math skills over time through practical experience and learning resources.<\/span><\/p>\n<h3 id=\"is-programming-essential-for-a-data-science-career\"><span class=\"ez-toc-section\" id=\"Is_programming_essential_for_a_data_science_career\"><\/span><b>Is programming essential for a data science career?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Yes, programming is essential in data science. Proficiency in languages like Python or R highly recommended. As they are widely use for data manipulation, analysis, and building models. However, one can start with basic programming knowledge and improve it progressively.<\/span><\/p>\n<h2 id=\"conclusion\"><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span><b>Conclusion<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Embarking on a career in data science requires curiosity, analytical skills, and perseverance. While a strong background in math or programming is beneficial, the field is accessible to individuals from diverse educational backgrounds. To thrive in this evolving domain, embrace continuous learning and adaptability.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"Explore what it takes to become a data scientist\u2014essential skills and qualifications.\n","protected":false},"author":3,"featured_media":13825,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[2],"tags":[25],"ppma_author":[2172,2184],"class_list":{"0":"post-78","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-machine-learning","8":"tag-machine-learning"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>What is the Eligibility Criteria for a Data Scientist?<\/title>\n<meta name=\"description\" content=\"Explore the eligibility criteria for a data scientist. Discover the skills, qualifications, and attributes needed to excel.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.pickl.ai\/blog\/are-you-cut-out-to-be-a-data-scientist\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is Data Scientist Eligibility Criteria?\" \/>\n<meta property=\"og:description\" content=\"Explore the eligibility criteria for a data scientist. 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