A Python Approach to Solving Probability Interview Question for Data Science @stratascratch
A Python Approach to Solving Probability Interview Question for Data Science  @stratascratch
Uploaded April 2023 | Updated September 2026, 1 hour ago
This video will walk you through Goldman Sachs's probability interview question "21 Unbiased Coins". We'll go step-by-step through the process of the binomial probability calculation in Python, and also discuss why the final probability calculation may result in slightly different values due to floating point precision errors.

Go to the question through the link below and follow along with meπŸ‘‡
platform.stratascratch.com/technical/2407-21-unbiased-coins?utm_source=youtube&utm_medium=click&utm_campaign=YT+python+probability+question
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Timeline:

Intro: (0:00​​​)
Interview Question: (0:26​​)
Formulas to use: (1:26)
Probability Calculation Using the Math Library: (3:44)
Probability Calculation Using Math Module: (5:47)
Take Away: (7:31​​)

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About The Platform:

I'm using StrataScratch (platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+python+probability+question), a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and python), statistics, probability, product sense, and business cases.

So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+python+probability+question. All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, you can use ss15 for a 15% discount on the premium plans.

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Contact:

If you have any questions, comments, or feedback, please leave them here!
Feel free to also email me at nathan@stratascratch.com

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#probability #probabilityandstatistics #python
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A Python Approach to Solving Probability Interview Question for Data Science

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