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A/B Testing in Data Science Interviews by a Google Data Scientist | DataInterview

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====== ✅ Details ======
🤔 Ever wondered how to ace the A/B testing questions in data science interviews?
Explained by Dan, a former data scientist at Google, explains how to design an A/B test based on a real-life example. The procedure and tips covered in the video are insightful for data science interviews at top companies such as Google and Meta.
====== ⏱️ Timestamps ======
0:00 Intro
1:02 7 Steps in AB Testing
3:02 Step 1 - Problem Statement
4:44 User Funnel
6:09 Success Metric
8:06 Step 2 - Hypothesis Testing
9:41 Step 3 - Design the Experiment
11:34 Step 4 - Run the Experiment
12:32 Step 5 - Validity Check
15:13 Step 6 - Interpret Results
16:13 Step 7 - Launch Decision
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