{"id":5447,"date":"2015-05-31T12:23:55","date_gmt":"2015-05-31T12:23:55","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=5447"},"modified":"2015-06-03T01:34:46","modified_gmt":"2015-06-03T01:34:46","slug":"its-data-science-not-rocket-science-053115","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/its-data-science-not-rocket-science-053115\/5447\/","title":{"rendered":"It&#8217;s Data Science, not Rocket Science"},"content":{"rendered":"Data scientists and chief data officers are the hot hire these days, and government agencies at all levels are working to get more out of their rapidly growing troves of data.\u00a0\u00a0 Determining how to approach all that data, however, can be daunting. For agencies that don&#8217;t have DJ Patil on speed dial, a recent TDWI report offers a good place to start.\u00a0 (TDWI, like GCN, is owned by 1105 Media.)\u00a0\u00a0 &#8220;Seven Steps for Executing a Successful Data Science Strategy&#8221; is just what the title suggests &#8212; a checklist of seven basic tenets of smart and results-oriented data science. <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/its-data-science-not-rocket-science-053115\/5447\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Data scientists and chief data officers are the hot hire these days, and government agencies at all levels are working to get more out of their rapidly growing troves of data.\u00a0\u00a0 Determining how to approach all that data, however, can be daunting. For agencies that don&#8217;t have DJ Patil on speed dial, a recent TDWI [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[166],"class_list":["post-5447","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-data-science"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5447","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=5447"}],"version-history":[{"count":4,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5447\/revisions"}],"predecessor-version":[{"id":5487,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5447\/revisions\/5487"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=5447"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=5447"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=5447"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}