{"id":589,"date":"2013-11-29T15:08:12","date_gmt":"2013-11-29T14:08:12","guid":{"rendered":"http:\/\/data-science.ch\/?p=589"},"modified":"2014-06-20T14:23:44","modified_gmt":"2014-06-20T12:23:44","slug":"the-data-science-skill-set","status":"publish","type":"post","link":"https:\/\/blog.zhaw.ch\/datascience\/the-data-science-skill-set\/","title":{"rendered":"The data science skill set"},"content":{"rendered":"<p>Drew Conway\u00b4s <a title=\"Data Science Venn diagram\" href=\"http:\/\/drewconway.com\/zia\/2013\/3\/26\/the-data-science-venn-diagram\" target=\"_blank\">data science Venn diagram<\/a> is used by many (<a title=\"Data Science &amp; Big Data, made in Switzerland\" href=\"http:\/\/de.slideshare.net\/thilo_stadelmann\/data-science-und-big-data-made-in-switzerland\" target=\"_blank\">including me<\/a>) to give a first impression of what data science is all about. And rightly so: I, for example, like it for its simplicity and &#8220;coolness&#8221;.<\/p>\n<p>When in a more in-depth discussion, moving from mere buzz to concrete skills and project possibilities, we at the Datalab have gained good experiences with the following &#8220;skill set map&#8221;:<\/p>\n<p><a href=\"http:\/\/blog.zhaw.ch\/datascience\/files\/2014\/06\/SkillSet.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-679\" src=\"http:\/\/blog.zhaw.ch\/datascience\/files\/2014\/06\/SkillSet-1024x751.png\" alt=\"SkillSet\" width=\"584\" height=\"428\" srcset=\"https:\/\/blog.zhaw.ch\/datascience\/files\/2014\/06\/SkillSet-1024x751.png 1024w, https:\/\/blog.zhaw.ch\/datascience\/files\/2014\/06\/SkillSet-300x220.png 300w, https:\/\/blog.zhaw.ch\/datascience\/files\/2014\/06\/SkillSet-408x300.png 408w, https:\/\/blog.zhaw.ch\/datascience\/files\/2014\/06\/SkillSet.png 1578w\" sizes=\"auto, (max-width: 584px) 100vw, 584px\" \/><\/a><\/p>\n<p><!--more--><\/p>\n<p>For us, it is a very useful (and used) tool to explain what data science is and what we can do:<\/p>\n<ul>\n<li>First, it shows the different hig-level skills a data scientist should master. This unveils the intrinsic interdisciplinarity of data science (I usually say that an actual data scientist should comprise approximately 80% of these skills, scattered over all 5 blue bubbles). These skills can be trained, usually by earning a degree in one of the top 3 bubbles (with a focus on quantitiative analytics) and getting skills in the other bubbles by interdisciplinary work and\/or advanced training.<\/li>\n<li>Second, it shows character traits of a data scientist as grey labels attached to the center of the map. These attitudes are hard to train, but reveal the mindset of a data scientist.<\/li>\n<li>Third, the history of the field shows up on the map: all the skills have been developed in disciplines of their own right (like, e.g., statistics or artificial intelligence). Data science now is a <em>unique blend<\/em> of these skills (from analytics, engineering and communication) aiming at a <em>specific goal<\/em>: generating (corporate and\/or societal) value from (all kinds of) data.<\/li>\n<\/ul>\n<p>More Information on this skill set map and how we implement it within the Datalab can also be found in our paper &#8220;<a href=\"https:\/\/home.zhaw.ch\/~stdm\/downloads\/papers\/ECSS_2013.pdf\" target=\"_blank\">Applied Data Science in Europe<\/a>&#8220;.<\/p>\n<p>&nbsp;<\/p>\n<div class=\"pt-sm\">Schlagw\u00f6rter: <a href=\"https:\/\/blog.zhaw.ch\/datascience\/tag\/data-science\/\">Data Science<\/a>, <a href=\"https:\/\/blog.zhaw.ch\/datascience\/tag\/definition\/\">Definition<\/a>, <a href=\"https:\/\/blog.zhaw.ch\/datascience\/tag\/skill-set-map\/\">skill set map<\/a><br><\/div>","protected":false},"excerpt":{"rendered":"<p>Drew Conway\u00b4s data science Venn diagram is used by many (including me) to give a first impression of what data science is all about. And rightly so: I, for example, like it for its simplicity and &#8220;coolness&#8221;. When in a more in-depth discussion, moving from mere buzz to concrete skills and project possibilities, we at [&hellip;]<\/p>\n","protected":false},"author":41,"featured_media":679,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ngg_post_thumbnail":0,"footnotes":""},"categories":[7,21],"tags":[5,20,22],"features":[],"class_list":["post-589","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-philosophy","tag-data-science","tag-definition","tag-skill-set-map"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>The data science skill set - Data Science made in Switzerland<\/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:\/\/blog.zhaw.ch\/datascience\/the-data-science-skill-set\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The data science skill set\" \/>\n<meta property=\"og:description\" content=\"Drew Conway\u00b4s data science Venn diagram is used by many (including me) to give a first impression of what data science is all about. And rightly so: I, for example, like it for its simplicity and &#8220;coolness&#8221;. When in a more in-depth discussion, moving from mere buzz to concrete skills and project possibilities, we at [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/blog.zhaw.ch\/datascience\/the-data-science-skill-set\/\" \/>\n<meta property=\"og:site_name\" content=\"Data Science made in Switzerland\" \/>\n<meta property=\"article:published_time\" content=\"2013-11-29T14:08:12+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2014-06-20T12:23:44+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/blog.zhaw.ch\/datascience\/files\/2014\/06\/SkillSet.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1578\" \/>\n\t<meta property=\"og:image:height\" content=\"1158\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Thilo Stadelmann\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Thilo Stadelmann\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/blog.zhaw.ch\/datascience\/the-data-science-skill-set\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/blog.zhaw.ch\/datascience\/the-data-science-skill-set\/\"},\"author\":{\"name\":\"Thilo Stadelmann\",\"@id\":\"https:\/\/blog.zhaw.ch\/datascience\/#\/schema\/person\/1d9bdcd274799349a222e6843c569aa9\"},\"headline\":\"The data science skill set\",\"datePublished\":\"2013-11-29T14:08:12+00:00\",\"dateModified\":\"2014-06-20T12:23:44+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/blog.zhaw.ch\/datascience\/the-data-science-skill-set\/\"},\"wordCount\":291,\"image\":{\"@id\":\"https:\/\/blog.zhaw.ch\/datascience\/the-data-science-skill-set\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/blog.zhaw.ch\/datascience\/files\/2014\/06\/SkillSet.png\",\"keywords\":[\"Data Science\",\"Definition\",\"skill set map\"],\"articleSection\":[\"Blog\",\"Philosophy\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/blog.zhaw.ch\/datascience\/the-data-science-skill-set\/\",\"url\":\"https:\/\/blog.zhaw.ch\/datascience\/the-data-science-skill-set\/\",\"name\":\"The data science skill set - 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