Back to Statistics & AB Testing
Statistics & AB Testing

Statistics & AB Testing

36 of 68 Completed

Introduction to Statistics and A/B Testing
Hypothesis Testing
A/B Testing & Experiment Design
Confidence Intervals
A/B Testing Common Scenarios
A/B Testing Tradeoffs
Generalized Linear Models and Regression


In this lesson, we’re going to go over problems you might face in interviews focused on A/B testing and statistics.

When facing any type of data science or statistics interview, we have to demonstrate an understanding of both of these fundamental concepts, and one falls into place with the other quite easily. A/B testing is a combination of experimental design and applicational statistics. Comparatively, regular statistics questions are asked in interviews to test your underlying understanding of theory on the subject.

Our focus within this lesson is to get an overarching understanding of how A/B testing and statistics questions are asked in interviews.

Good job, keep it up!



You have 32 sections remaining on this learning path.

There's so much more to Interview Query! Sign up to access hundreds of interview questions, expert coaching and a flourishing data science community.