Most Common Data Science SQL Interview Question from DoorDash [window functions & partitions]

This is the most common data science SQL interview question from DoorDash, a food delivery company. This question tests your ability to split your data into percentiles using window functions. I’ll walk you through solving the question like we’re in an interview and give you some tips on how to approach the solution.

Go to the question through the link below and follow along with me.

Link to the question: https://bit.ly/3cJVQIL

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Timeline:

Intro: (0:00​​​)
Interview Question: (0:35​​​)
Framework to solve the problem: (1:40​​​)
Understand your data: (3:58​​​)
Formulate your approach: (6:40​​​)
Code Execution: (8:55​​​)
Code Optimization: (14:35​​​)
Conclusion: (17:08​​​)
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About The Platform:

I'm using StrataScratch (https://platform.stratascratch.com/?utm_source=youtube&utm_medium=click&utm_campaign=YT%20description%20link), 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 https://platform.stratascratch.com/?utm_source=youtube&utm_medium=click&utm_campaign=YT%20description%20link. 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:

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Видео Most Common Data Science SQL Interview Question from DoorDash [window functions & partitions] канала Nate at StrataScratch