Uploaded September 2022 | Updated September 2026, 5 hours ago
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: platform.stratascratch.com/coding/2113-extremely-late-delivery?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
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👉 Subscribe to my channel: bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81
👉 Playlist for data science interview tips: bit.ly/2G5hNoJ
👉 Practice more real data science interview questions: platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
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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)
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About The Platform:
I'm using StrataScratch (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 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 nathan@stratascratch.com
______________________________________________________________________
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: 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: bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81
👉 Playlist for data science interview tips: bit.ly/2G5hNoJ
👉 Practice more real data science interview questions: 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 (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 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 nathan@stratascratch.com
______________________________________________________________________
![Multiple Solutions to Data Scientist Interview Question From Amazon [Rolling Average]](https://i.ytimg.com/vi/GeJUvdkJKEc/mqdefault.jpg "Multiple Solutions to Data Scientist Interview Question From Amazon [Rolling Average]
This data scientist interview question comes from Amazon and it’s really an interesting question that deals with rolling average, the type of average that we calculate from values in a certain timeframe and we repeat it for all dates in a longer time period.
Link to the question to follow along with me: https://platform.stratascratch.com/coding/10314-revenue-over-time?python=&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: (0:28)
Framework to solve the problem: (1:40)
Understand your data: (2:36)
Formulate your approach: (6:12)
Common table expressions and interval function: (7:09)
Window Function Approach: (20:35)
Comparison of approaches / Optimization discussion: (25:45)
Conclusion: (28:08)
About The Platform:
Im 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 nathan@stratascratch.com
#AmazonDataScientistInterview")
