{"id":8769,"date":"2022-04-28T21:17:05","date_gmt":"2022-04-28T21:17:05","guid":{"rendered":"https:\/\/www.tun.com\/courses\/2019\/12\/23\/a-crash-course-in-causality-inferring-causal-effects-from-observational-data\/"},"modified":"2022-04-28T21:17:06","modified_gmt":"2022-04-28T21:17:06","slug":"a-crash-course-in-causality-inferring-causal-effects-from-observational-data","status":"publish","type":"post","link":"https:\/\/www.tun.com\/courses\/a-crash-course-in-causality-inferring-causal-effects-from-observational-data\/university-of-pennsylvania\/","title":{"rendered":"A Crash Course in Causality:  Inferring Causal Effects from Observational Data"},"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>We have all heard the phrase \u201ccorrelation does not equal causation.\u201d  What, then, does equal causation?  This course aims to answer that question and more!  <\/p>\n<p>Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are necessary, and how to implement and interpret some popular statistical methods.  Learners will have the opportunity to apply these methods to example data in R (free statistical software environment).<\/p>\n<p>At the end of the course, learners should be able to:<br \/>\n1.  Define causal effects using potential outcomes<br \/>\n2.  Describe the difference between association and causation<br \/>\n3.  Express assumptions with causal graphs<br \/>\n4.  Implement several types of causal inference methods (e.g. matching, instrumental variables, inverse probability of treatment weighting)<br \/>\n5.  Identify which causal assumptions are necessary for each type of statistical method<\/p>\n<p>So join us&#8230;. and discover for yourself why modern statistical methods for estimating causal effects are indispensable in so many fields of study!<\/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\/crash-course-in-causality\">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\/crash-course-in-causality\">A Crash Course in Causality:  Inferring Causal Effects from Observational Data<strong> &#8211; University of Pennsylvania<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description We have all heard the phrase \u201ccorrelation does not equal causation.\u201d What, then, does equal causation? This course aims to answer that question and more! Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are necessary, and how to implement and interpret [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":19377,"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":[266],"tags":[],"class_list":["post-8769","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-university-of-pennsylvania"],"aioseo_notices":[],"uagb_featured_image_src":{"full":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/University-of-Pennsylvaniaonline-education.png",378,224,false],"thumbnail":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/University-of-Pennsylvaniaonline-education-150x150.png",150,150,true],"medium":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/University-of-Pennsylvaniaonline-education-300x178.png",300,178,true],"medium_large":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/University-of-Pennsylvaniaonline-education.png",378,224,false],"large":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/University-of-Pennsylvaniaonline-education.png",378,224,false],"1536x1536":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/University-of-Pennsylvaniaonline-education.png",378,224,false],"2048x2048":["https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/University-of-Pennsylvaniaonline-education.png",378,224,false]},"uagb_author_info":{"display_name":"Axiom Pegasus","author_link":"https:\/\/www.tun.com\/courses\/author\/magic\/"},"uagb_comment_info":0,"uagb_excerpt":"Description We have all heard the phrase \u201ccorrelation does not equal causation.\u201d What, then, does equal causation? This course aims to answer that question and more! Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are necessary, and how to implement and interpret&hellip;","featured_media_src_url":"https:\/\/www.tun.com\/courses\/wp-content\/uploads\/2019\/12\/University-of-Pennsylvaniaonline-education.png","_links":{"self":[{"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/posts\/8769","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=8769"}],"version-history":[{"count":0,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/posts\/8769\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/media\/19377"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/media?parent=8769"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/categories?post=8769"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/courses\/wp-json\/wp\/v2\/tags?post=8769"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}