A/B Testing Mistakes to Avoid in Your Data Science Interview: Tips and Tricks!

In this video, I'm going to talk about a few mistakes that people often make when interpreting A/B testing results. You may often encounter these questions during an interview for data scientist positions. Want to know what these mistakes are and how to solve these questions correctly? Stay tuned!

Choosing the Right Metrics for A/B Testing
   • A/B Testing Metrics: What You Need to...  

A/B Testing "Real-Life" Example: A Step by Step Walkthrough
   • A/B Testing Made Easy: Real-Life Exam...  

Data Scientists Must Know: A/B Testing Fundamentals
   • A/B Testing Fundamentals: What Every ...  
🟢Get all my free data science interview resources
https://www.emmading.com/resources
🟡 Product Case Interview Cheatsheet https://www.emmading.com/product-case...
🟠 Statistics Interview Cheatsheet https://www.emmading.com/statistics-i...
🟣 Behavioral Interview Cheatsheet https://www.emmading.com/behavioral-i...
🔵 Data Science Resume Checklist https://www.emmading.com/data-science...

✅ We work with Experienced Data Scientists to help them land their next dream jobs. Apply now: https://www.emmading.com/coaching

// Comment
Got any questions? Something to add?
Write a comment below to chat.

// Let's connect on LinkedIn:
  / emmading001  

====================
Contents of this video:
====================
0:00 Overview
1:26 Data Scientists' Roles
1:48 Data Peeking
3:40 Multiple Testing Problem
8:49 Lack of Statistical Power