Introduction to A/B Testing in R

Description

In this course, you will:

• Discover the basics of A/B testing, such as hypothesis testing, experimental design, and confounding variables. 
• You will also be exposed to some more complex subjects, such as sequential analysis and multivariate testing. The first dataset will be a simulated cat adoption website. 
• Examine whether changing the homepage image affects conversion rates (the proportion of individuals who click a given button). You will utilize another created dataset from a fictitious data visualization website for the remainder of the course.

Syllabus:

• Mini case study in A/B Testing
• Mini case study in A/B Testing Part 2
• Experimental Design in A/B Testing
• Statistical Analyses in A/B Testing