{"id":518,"date":"2020-09-30T23:57:08","date_gmt":"2020-09-30T23:57:08","guid":{"rendered":"https:\/\/skillupinstitute.org\/library\/?post_type=product&#038;p=518"},"modified":"2023-08-06T10:03:07","modified_gmt":"2023-08-06T10:03:07","slug":"the-art-of-data-science","status":"publish","type":"product","link":"https:\/\/skillupinstitute.org\/library\/product\/the-art-of-data-science\/","title":{"rendered":"The Art of Data Science: A Guide for Anyone Who Works with Data. &#8211; Roger D. Peng and Elizabeth Matsui"},"content":{"rendered":"<p>This book describes, simply and in general terms, the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and have carefully observed what produces coherent results and what fails to produce useful insights into data. This book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science.<\/p>\n","protected":false},"excerpt":{"rendered":"<div style='clear:both'><\/div><div  class='the_champ_sharing_container the_champ_horizontal_sharing' data-super-socializer-href=\"https:\/\/skillupinstitute.org\/library\/product\/the-art-of-data-science\/\"><div class='the_champ_sharing_title' style=\"font-weight:bold\" >Share this page with a friend<\/div><div class=\"the_champ_sharing_ul\"><a aria-label=\"Facebook\" class=\"the_champ_facebook\" href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https%3A%2F%2Fskillupinstitute.org%2Flibrary%2Fproduct%2Fthe-art-of-data-science%2F\" title=\"Facebook\" rel=\"nofollow noopener\" target=\"_blank\" style=\"font-size:24px!important;box-shadow:none;display:inline-block;vertical-align:middle\"><span class=\"the_champ_svg\" 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href=\"https:\/\/api.whatsapp.com\/send?text=The%20Art%20of%20Data%20Science%3A%20A%20Guide%20for%20Anyone%20Who%20Works%20with%20Data.%20-%20Roger%20D.%20Peng%20and%20Elizabeth%20Matsui https%3A%2F%2Fskillupinstitute.org%2Flibrary%2Fproduct%2Fthe-art-of-data-science%2F\" title=\"Whatsapp\" rel=\"nofollow noopener\" target=\"_blank\" style=\"font-size:24px!important;box-shadow:none;display:inline-block;vertical-align:middle\"><span class=\"the_champ_svg\" style=\"background-color:#55eb4c;width:35px;height:35px;border-radius:999px;display:inline-block;opacity:1;float:left;font-size:24px;box-shadow:none;display:inline-block;font-size:16px;padding:0 4px;vertical-align:middle;background-repeat:repeat;overflow:hidden;padding:0;cursor:pointer;box-sizing:content-box\"><svg style=\"display:block;border-radius:999px;\" focusable=\"false\" aria-hidden=\"true\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"100%\" height=\"100%\" viewBox=\"-6 -5 40 40\"><path class=\"the_champ_svg_stroke the_champ_no_fill\" stroke=\"#fff\" stroke-width=\"2\" fill=\"none\" d=\"M 11.579798566743314 24.396926207859085 A 10 10 0 1 0 6.808479557110079 20.73576436351046\"><\/path><path d=\"M 7 19 l -1 6 l 6 -1\" class=\"the_champ_no_fill the_champ_svg_stroke\" stroke=\"#fff\" stroke-width=\"2\" fill=\"none\"><\/path><path d=\"M 10 10 q -1 8 8 11 c 5 -1 0 -6 -1 -3 q -4 -3 -5 -5 c 4 -2 -1 -5 -1 -4\" fill=\"#fff\"><\/path><\/svg><\/span><\/a><\/div><\/div><div style='clear:both'><\/div><p>This book describes, simply and in general terms, the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and have carefully observed what produces coherent results and what fails to produce useful insights into data. This book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science.<\/p>\n","protected":false},"featured_media":519,"template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"product_cat":[89,80,88],"product_tag":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.12 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The Art of Data Science: A Guide for Anyone Who Works with Data. - Roger D. 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