{"id":22,"date":"2012-09-28T12:54:29","date_gmt":"2012-09-28T10:54:29","guid":{"rendered":"http:\/\/datascientists.info\/?p=22"},"modified":"2012-09-28T12:54:29","modified_gmt":"2012-09-28T10:54:29","slug":"data-science-definition","status":"publish","type":"post","link":"https:\/\/datascientists.info\/index.php\/2012\/09\/28\/data-science-definition\/","title":{"rendered":"Data Science: What is it?"},"content":{"rendered":"<p><strong>Data Science<\/strong> is an interdisciplinary field of sciences. It includes:<\/p>\n<ol>\n<ul>Data Engineering<\/ul>\n<ul>Math<\/ul>\n<ul>Statistics<\/ul>\n<ul>Advanced Computing<\/ul>\n<ul>Visualization<\/ul>\n<ul>Domain Expertise<\/ul>\n<\/ol>\n<p>It revolves around, as the name suggests, working with data. With the development in creating big sets of data in our society, the need for analyzing this data grows across all industries. And this calls for people, who can work with data, analyze it and make their findings available for management decisions. Here comes into play math, statistics, expertise and visualization.<br \/>\nOne of the most important challenges is, to integrate findings from unstructured data, like logfiles, and structured data, like databases. This enables a company to develop a whole new view of their customers and their products.<br \/>\nOne task of data science is to make all necessary information available and filter out the noise that this information age provides us with. This is where statistics and data mining come into play. Finding effective ways to distribute these findings is partly data engineering, math and visualization. Presenting results from analysing data in graphical form is a way to make it easier to grasp the results.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Science is an interdisciplinary field of sciences. It includes: Data Engineering Math Statistics Advanced Computing Visualization Domain Expertise It revolves around, as the name suggests, working with data. With the development in creating big sets of data in our society, the need for analyzing this data grows across all industries. And this calls for [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[28,29,79,83],"ppma_author":[144],"class_list":["post-22","post","type-post","status-publish","format-standard","hentry","category-data-science","tag-data-mining","tag-data-science","tag-statistics","tag-visualization","author-marc"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data Science: What is it?<\/title>\n<meta name=\"description\" content=\"What is Data Science about? 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