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 https://www.youtube.com/watch?v=SuXc5ckvlJ8 A/B Testing "Real-Life" Example: A Step by Step Walkthrough https://www.youtube.com/watch?v=VuKIN9S8Ivs Data Scientists Must Know: A/B Testing Fundamentals https://www.youtube.com/watch?v=VpTlNRUcIDo 🟢Get all my free data science interview resources https://www.emmading.com/resources 🟡 Product Case Interview Cheatsheet https://www.emmading.com/product-case-cheat-sheet 🟠 Statistics Interview Cheatsheet https://www.emmading.com/statistics-interview-cheat-sheet 🟣 Behavioral Interview Cheatsheet https://www.emmading.com/behavioral-interview-cheat-sheet 🔵 Data Science Resume Checklist https://www.emmading.com/data-science-resume-checklist ✅ 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: https://www.linkedin.com/in/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