Many businesses make updates to their product or website and carefully track the impact this has on key metrics, often assuming any change in the metrics was caused by the updates they made. AB testing is a way of determining if this causal link is correct or whether the metric would have changed regardless. In this course, Designing and Executing Your First AB Test, you’ll learn how to start optimizing business objectives by running AB tests. First, you’ll explore what AB testing is and why you’d want to do it. Next, you’ll learn about the process to go through when deciding what should be tested. Finally, you'll learn about statistical significance and how to analyze the results of an AB test using RStudio. When you’re finished with this course, you’ll have the skills and knowledge of AB testing needed to set up a test and analyze the results.
Course Overview Hi, everyone. My name is Michael Bailey, and welcome to my course, Designing and Executing Your First AB Test. I'm a software consultant at InfoJolt. This course is a basic introduction to AB testing, and no prior experience with setting up or analyzing AB tests is required. Some of the major topics we'll cover include what AB testing is, deciding what should be tested, setting up and executing your first AB test, and determining whether the outcome of your test was statistically significant. By the end of this course you'll know the process to follow when getting started with running AB tests for the first time. I hope you'll join me on this journey to learn AB testing with the Designing and Executing Your first AB Test course, at Pluralsight.