Uploaded March 2021 | Updated September 2026, 4 hours ago
This is the most common data science interview question from Facebook. Itβs the most commonly tested concept on Facebook's coding interviews, especially in the beginning rounds.
In the previous video, we talked about 5 coding concepts that companies test for in 2021 so now we'll actually solve the 5 questions that test your understanding of these concepts. If you haven't watched that video, here's the link to the video - bit.ly/3ek04by
Link to the question: platform.stratascratch.com/coding/2005-share-of-active-users?python=&utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
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π Subscribe to my channel: bit.ly/2GsFxmAββ
π Playlist for more data science interview questions and answers: bit.ly/3jifw81ββ
π Playlist for data science interview tips: bit.ly/2G5hNoJββ
π Practice more real data science interview questions: platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+linkββ
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Timeline:
Intro: (0:00ββ)
Interview Question: (0:50ββ)
Solution Approach: (1:50ββ)
Explore data: (2:28ββ)
Identify the required columns: (3:40ββ)
Visualize output: (4:14ββ)
Code in increments: (5:14ββ)
Conclusion: (10:16ββ)
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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+linkββ), 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+linkβ. 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
______________________________________________________________________
#SQLβ #DataScienceInterview
This is the most common data science interview question from Facebook. Itβs the most commonly tested concept on Facebook's coding interviews, especially in the beginning rounds.
In the previous video, we talked about 5 coding concepts that companies test for in 2021 so now we'll actually solve the 5 questions that test your understanding of these concepts. If you haven't watched that video, here's the link to the video - bit.ly/3ek04by
Link to the question: platform.stratascratch.com/coding/2005-share-of-active-users?python=&utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
______________________________________________________________________
π Subscribe to my channel: bit.ly/2GsFxmAββ
π Playlist for more data science interview questions and answers: bit.ly/3jifw81ββ
π Playlist for data science interview tips: bit.ly/2G5hNoJββ
π Practice more real data science interview questions: platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+linkββ
______________________________________________________________________
Timeline:
Intro: (0:00ββ)
Interview Question: (0:50ββ)
Solution Approach: (1:50ββ)
Explore data: (2:28ββ)
Identify the required columns: (3:40ββ)
Visualize output: (4:14ββ)
Code in increments: (5:14ββ)
Conclusion: (10:16ββ)
______________________________________________________________________
About The Platform:
I'm using StrataScratch (platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+linkββ), 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+linkβ. 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
______________________________________________________________________
#SQLβ #DataScienceInterview




![Exploratory Data Analysis For An Uber Python Data Science Project [Part 1]
In this video, well take you through a data project from Uber called Partner Business Modeling. Well delve into the details of exploring and cleaning up the dataset. Well use popular Python libraries such as Pandas, NumPy, and Matplotlib to manipulate, analyze and visualize the data. And showcase how custom functions can be used to create bar graphs and how to clean and change rows using the apply method.
Watch the next parts:
π Part 2: Using Python Pandas To Answer Business Questions For An Uber Data Science Project: https://www.youtube.com/watch?v Lzi4Qoy2v4
π Part 3: Data Science and Uber: Solving Partner Business Modeling using Python: https://youtu.be/xlppLbv7nb0
π§βπ» Go to the question through the link below and follow along with us:
https://platform.stratascratch.com/data-projects/partner-business-modeling/?utm_source=youtube&utm_medium=click&utm_campaign=YT+data+preparation+uber+project
π Subscribe to my channel: https://bit.ly/2GsFxmA
π Playlist for more data science interview questions and answers: https://bit.ly/3jifw81
π Playlist for data science interview tips: https://bit.ly/2G5hNoJ
π Practice more real data science interview questions: https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+data+preparation+uber+project
Timeline:
Intro: (0:00βββ)
Data exploration and cleaning: (0:37)
Coding the solution: (6:49ββ)
Conclusion: (β8:57)
About The Platform:
Im using StrataScratch (https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+data+preparation+uber+project), 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+data+preparation+uber+project. 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
#PythonDataProject #PythonInterviewQuestion Exploratory Data Analysis For An Uber Python Data Science Project [Part 1]](https://i.ytimg.com/vi/ZOthTms86Bw/mqdefault.jpg)





