<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/new-course-a-b-testing-in-r/"></div></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="https://www.datacamp.com/community/blog/course-ab-testing-r"> DataCamp Community - r programming</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p><center><a rel="nofollow" href="https://www.datacamp.com/courses/ab-testing-in-r?tap_a=5644-dce66f&tap_s=10907-287229" target="_blank"><img src="https://i2.wp.com/res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1537447206/B_Testing_in_R_pktw4g.png?w=456&ssl=1" data-recalc-dims="1"></a></center></p>
<p>Here is the course <a rel="nofollow" href="https://www.datacamp.com/courses/ab-testing-in-r?tap_a=5644-dce66f&tap_s=10907-287229" target="_blank">link</a>.</p>
<h3>Course Description</h3>
<p>In this course, you will learn the foundations of A/B testing, including hypothesis testing, experimental design, and confounding variables. You will also be exposed to a couple more advanced topics, sequential analysis and multivariate testing. The first dataset will be a generated example of a cat adoption website. You will investigate if changing the homepage image affects conversion rates (the percentage of people who click a specific button). For the remainder of the course you will use another generated dataset of a hypothetical data visualization website.</p>
<h3>Chapter 1: Mini case study in A/B Testing (Free)</h3>
<p>Short case study on building and analyzing an A/B experiment.</p>
<h3>Chapter 2: Mini case study in A/B Testing Part 2</h3>
<p>In this chapter we’ll continue with our case study, now moving to our statistical analysis. We’ll also discuss how to do follow-up experiment planning.</p>
<p><center><a rel="nofollow" href="https://www.datacamp.com/courses/ab-testing-in-r?tap_a=5644-dce66f&tap_s=10907-287229" target="_blank"><img src="https://i2.wp.com/res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1537447274/A_B_Test_pt9cfp.png?w=456&ssl=1" data-recalc-dims="1"></a></center></p>
<h3>Chapter 3: Experimental Design in A/B Testing</h3>
<p>In this chapter we’ll dive deeper into the core concepts of A/B testing. This will include discussing A/B testing research questions, assumptions and types of A/B testing, as well as what confounding variables and side effects are.</p>
<h3>Chapter 4: Statistical Analyses in A/B Testing</h3>
<p>In the final chapter we’ll go over more types of statistical tests and power analyses for different A/B testing designs. We’ll also introduce the concepts of stopping rules, sequential analysis, and multivariate analysis.</p>
<h3>Prerequisites</h3>
<ul>
<li><a rel="nofollow" href="https://www.datacamp.com/courses/foundations-of-inference?tap_a=5644-dce66f&tap_s=10907-287229" target="_blank">Foundations of Inference</a></li>
<li><a rel="nofollow" href="https://www.datacamp.com/courses/experimental-design-in-r?tap_a=5644-dce66f&tap_s=10907-287229" target="_blank">Experimental Design in R</a></li>
</ul>
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