{"id":7935,"date":"2022-04-28T21:06:42","date_gmt":"2022-04-28T21:06:42","guid":{"rendered":"https:\/\/www.tun.com\/courses\/2019\/12\/23\/data-wrangling-analysis-and-ab-testing-with-sql\/"},"modified":"2022-04-28T21:06:42","modified_gmt":"2022-04-28T21:06:42","slug":"data-wrangling-analysis-and-ab-testing-with-sql","status":"publish","type":"post","link":"https:\/\/www.tun.com\/courses\/data-wrangling-analysis-and-ab-testing-with-sql\/university-of-california-davis\/","title":{"rendered":"Data Wrangling, Analysis and AB Testing with SQL"},"content":{"rendered":"<div class=\"single_post\" style=\"margin-top:16px;\";>\n<div class=\"post-single-content box mark-links entry-content\">\n<div class=\"thecontent\">\n<h2>Description<\/h2>\n<p>This course allows you to apply the SQL skills taught in \u201cSQL for Data Science\u201d to four increasingly complex and authentic data science inquiry case studies. We&#8217;ll learn how to convert timestamps of all types to common formats and perform date\/time calculations. We&#8217;ll select and perform the optimal JOIN for a data science inquiry and clean data within an analysis dataset by deduping, running quality checks, backfilling, and handling nulls. We&#8217;ll learn how to segment and analyze data per segment using windowing functions and use case statements to execute conditional logic to address a data science inquiry. We&#8217;ll also describe how to convert a query into a scheduled job and how to insert data into a date partition. Finally, given a predictive analysis need, we&#8217;ll engineer a feature from raw data using the tools and skills we&#8217;ve built over the course. The real-world application of these skills will give you the framework for performing the analysis of an AB test.<\/p>\n<div style=\"height:45px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<h2 class=\"has-text-align-center\">Price: Enroll For Free!<\/h2>\n<div style=\"height:45px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<div class=\"wp-block-button aligncenter\"><a class=\"wp-block-button__link has-text-color has-very-light-gray-color has-background has-vivid-red-background-color\" href=\"https:\/\/www.coursera.org\/learn\/data-wrangling-analysis-abtesting\">View Class<\/a><\/div>\n<div style=\"height:55px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\">\n<p class=\"has-text-align-center\"><em><strong>Language:<\/strong> <\/em>English<\/p>\n<\/div>\n<div class=\"wp-block-column\">\n<p class=\"has-text-align-center\"><em><strong>Subtitles<\/strong>: <\/em>English<\/p>\n<\/div>\n<\/div>\n<p style=\"background-color:#496d89\" class=\"has-text-color has-background has-text-align-center has-very-light-gray-color\"><a href=\"https:\/\/www.coursera.org\/learn\/data-wrangling-analysis-abtesting\">Data Wrangling, Analysis and AB Testing with SQL<strong> &#8211; University of California, Davis<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description This course allows you to apply the SQL skills taught in \u201cSQL for Data Science\u201d to four increasingly complex and authentic data science inquiry case studies. We&#8217;ll learn how to convert timestamps of all types to common formats and perform date\/time calculations. We&#8217;ll select and perform the optimal JOIN for a data science inquiry [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[245],"tags":[],"class_list":["post-7935","post","type-post","status-publish","format-standard","hentry","category-university-of-california-davis"],"aioseo_notices":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"Axiom Pegasus","author_link":"https:\/\/www.tun.com\/courses\/author\/magic\/"},"uagb_comment_info":0,"uagb_excerpt":"Description This course allows you to apply the SQL skills taught in \u201cSQL for Data Science\u201d to four increasingly complex and authentic data science inquiry case studies. We&#8217;ll learn how to convert timestamps of all types to common formats and perform date\/time calculations. We&#8217;ll select and perform the optimal JOIN for a data science inquiry&hellip;","featured_media_src_url":null,"_links":{"self":[{"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/posts\/7935","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/comments?post=7935"}],"version-history":[{"count":0,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/posts\/7935\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/media?parent=7935"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/categories?post=7935"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/tags?post=7935"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}