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.
Dan, the host, was a data scientist formerly at Google and PayPal. He launched https://datainterview.com/ to help candidates like you eliminate frustrations about the data science interview process and increase your success.
As an interview coach, Dan helped several clients land their dream jobs as IC and managerial DS roles at top companies such as Google, Meta, Amazon and such. Message him at [email protected] for help!
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====== ⏱️ 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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