{"id":9421,"date":"2018-04-05T11:50:11","date_gmt":"2018-04-05T15:50:11","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=9421"},"modified":"2018-04-09T12:41:38","modified_gmt":"2018-04-09T16:41:38","slug":"top-10-challenges-to-practicing-data-science-at-work","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/top-10-challenges-to-practicing-data-science-at-work\/9421\/","title":{"rendered":"Top 10 Challenges to Practicing Data Science at Work"},"content":{"rendered":"Originally published in Business Over Broadway, March 18, 2018 For today\u2019s leading machine learning methods and technology, attend the conference and training workshops at Predictive Analytics World Las Vegas, June 3-7, 2018. A recent survey of over 16,000 data professionals showed that\u00a0the most common challenges to data science included dirty data (36%), lack of data science talent (30%) and lack of management support (27%). Also,\u00a0data professionals reported experiencing around three challenges in the previous year. A principal component analysis of the 20 challenges studied showed that challenges can be grouped into five categories. Data science is about finding <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/top-10-challenges-to-practicing-data-science-at-work\/9421\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Business Over Broadway, March 18, 2018 For today\u2019s leading machine learning methods and technology, attend the conference and training workshops at Predictive Analytics World Las Vegas, June 3-7, 2018. A recent survey of over 16,000 data professionals showed that\u00a0the most common challenges to data science included dirty data (36%), lack of data [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[],"class_list":["post-9421","post","type-post","status-publish","format-standard","hentry","category-industry-news"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/9421","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\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=9421"}],"version-history":[{"count":12,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/9421\/revisions"}],"predecessor-version":[{"id":9453,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/9421\/revisions\/9453"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=9421"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=9421"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=9421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}