DoorDash Data Science SQL Interview Question Walkthrough

In this video, we'll closely examine one of the DoorDash data scientist interview questions and discuss a way of solving this question using SQL. Go to the question through the link below and follow along with me. Link to the questions: https://platform.stratascratch.com/coding/2113-extremely-late-delivery?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link ______________________________________________________________________ 👉 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/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link ______________________________________________________________________ Timeline: Intro: (0:00​​​) Interview Question: (0:37) Exploring and understanding the dataset: (2:39) Writing out the approach: (4:00​​) Coding the solution: (5:29) Optimizing your solution: (9:23) Conclusion: (​​10:41) ______________________________________________________________________ About The Platform: I'm using StrataScratch (https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link), 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/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link. 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. ______________________________________________________________________ Contact: If you have any questions, comments, or feedback, please leave them here! Feel free to also email me at [email protected] ______________________________________________________________________