Facebook Statistics Interview Question | Google Data Scientist | DataInterview
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====== ✅ Details ======
🤔 "If you sample 10,000 users multiple times, what would the distribution of false positives look like?"
Dan (Ex-Google/PayPal Data Scientist) explores how to address this interview question posed in the statistics round of a data scientist interview at Facebook.
He covers the following:
1. Preview of the solution in the Case-In-Point course.
2. Walkthrough on the solution along with a self-assessment.
3. Demonstration of the Central Limit Theorem on Colab.
You can access the Colab here:
https://colab.research.google.com/dri...
If you want more prep content including AB testing courses, case course, product SQL course, Slack group and much more, make sure to check out https://datainterview.com/
👍 And, lastly, feel free to subscribe, like and share this video!
====== ⏱️ Timestamps ======
0:00 Intro
01:19 DataInterview Case Course
04:12 Solution Steps Overview
05:03 Step 1 - Clarification
06:33 Step 2 - Single Sample
08:07 Step 3 - Multiple Samples
12:52 Self-Assessment
13:51 Colab Simulation
====== 📚 Other Useful Contents ======
1. Principles and Frameworks of Product Metrics | YouTube Case Study
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2. How to Crack the Data Scientist Case Interview
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3. How to Crack the Amazon Data Scientist Interview
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====== Connect ======
📗 LinkedIn (Dan) - / danleedata
📘 Medium (DataInterview) - / datainterview