A/B testing is a widely used process in companies. A/B testing is done in order to identify whether a particular change is worth the effort or not. In other cases, we compare versions of changes against each other. The version which performs better (in terms of parameters like conversion rate) is finally selected and implemented.
This is the Data101 course I’ve talked about in this video: • Data101 | Data Science and Analytics
Almost all of the important statistics concepts required for A/B testing are covered in this playlist.