Step-by-step Approach to Solving Any Data Science SQL Interview Question (Twitch)

Опубликовано: 04 Ноябрь 2024
на канале: StrataScratch

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Here's a step-by-step framework to solve any data science SQL interview question. We'll cover a brand new data science interview question from Twitch where I'll walk you through the steps on how to solve the problem and communicate with the interviewer.

Link to the question: https://platform.stratascratch.com/co...

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This series is for both beginner and intermediate data scientists and analysts interested in learning how to solve common data science interview questions in SQL. These are real data science interview questions.

👉 Subscribe to my channel: https://bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: https://bit.ly/3jifw81
👉 Playlist for data science interview tips: https://bit.ly/2G5hNoJ
👉 Practice more real data science interview questions: https://platform.stratascratch.com/co...

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Timeline:

Intro: (0:00)
Interview Question: (1:16)
Explore data schema: (2:20)
First assumption: (2:38)
Second assumption: (3:15)
Third assumption: (3:40)
Walk through the logic before coding: (5:15)
Coding: (7:35)
Answering follow up questions: (12:08)
Collapsing or combining CTEs and subqueries for optimization: (13:03)
Offering ways to optimize code to show off your knowledge: (14:22)
Conclusion: (15:00)
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About The Platform:

I'm using StrataScratch (https://platform.stratascratch.com/co..., 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/co.... 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 [email protected]
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