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.

Read a More Comprehensive Article on A/B Testing
https://towardsdatascience.com/7ab...

Step by Step Guide on Calculating Sample Sizes for A/B Tests
   • Sample Size Estimation in A/B Tests E...  

Cracking Product Sense Problems in Data Science Interviews
   • Crack Metric/Business Case/Product Se...  

Udacity's A/B Testing Course https://www.udacity.com/course/abtes...

My friend Kelly's post on Towards Data Science https://towardsdatascience.com/asumm...

Book: Trustworthy Online Controlled Experiments https://www.amazon.com/TrustworthyOn...

LinkedIn's Ego Cluster Paper
https://arxiv.org/pdf/1903.08755.pdf
Get all my free data science interview resources
https://www.emmading.com/resources
Product Case Interview Cheatsheet https://www.emmading.com/productcase...
Statistics Interview Cheatsheet https://www.emmading.com/statisticsi...
Behavioral Interview Cheatsheet https://www.emmading.com/behaviorali...
Data Science Resume Checklist https://www.emmading.com/datascience...

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Contents of this video:
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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