Cracking A/B Testing Problems in Data Science Interviews | Product Sense | Case Interview

A/B Testing questions are very commonly asked in Data Science interviews together with metric ("case") problems. In this video, we will go over everything you need to know about A/B testing. Make sure you stay till the end. I am going to share other A/B testing resources to help you with your interview preparation.

0:00 Intro
1:26 What is A/B testing
2:30 Designing an A/B test
4:46 Multiple testing problem
7:47 Novelty and primacy effect
9:38 Interference between groups
12:51 Dealing with interference
15:37 Resources

Read a More Comprehensive Article on A/B Testing
https://towardsdatascience.com/7-a-b-testing-questions-and-answers-in-data-science-interviews-eee6428a8b63

Step by Step Guide on Calculating Sample Sizes for A/B Tests
https://youtu.be/JEAsoUrX6KQ

Cracking Product Sense Problems in Data Science Interviews
https://www.youtube.com/watch?v=nPJKFWMiIC8

Udacity's A/B Testing Course https://www.udacity.com/course/ab-testing--ud257

My friend Kelly's post on Towards Data Science https://towardsdatascience.com/a-summary-of-udacity-a-b-testing-course-9ecc32dedbb1

Book: Trustworthy Online Controlled Experiments https://www.amazon.com/Trustworthy-Online-Controlled-Experiments-Practical/dp/1108724264

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