Uploaded November 2023 | Updated September 2026, 1 day ago
Struggling with data cleaning as a data scientist? Watch this video to avoid common mistakes and level up your data-cleaning game! Learn how to handle missing values, outliers, data inconsistency, datatype issues, and duplicates like a pro. Plus, discover time-saving automation tips. Don't miss out on essential data science insights!
If you found this video helpful, please subscribe to our channel for more valuable data science content. For additional resources, visit stratascratch.com
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👉 Subscribe to the 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
👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube
👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+cleaning+data+10x+ds
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Timeline:
Intro: (0:00)
Mistake 1: (0:33)
Mistake 2: (1:06)
Mistake 3: (1:54)
Mistake 4: (2:31)
Mistake 5: (3:11)
Solutions: (3:51)
Conclusion: (4:52)
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About The Platform:
StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+cleaning+data+10x+ds) is 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?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+cleaning+data+10x+ds. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, 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 us at team@stratascratch.com
______________________________________________________________________
#DataScience #DataCleaning #DataAnalysis #DataQuality #Automation
Struggling with data cleaning as a data scientist? Watch this video to avoid common mistakes and level up your data-cleaning game! Learn how to handle missing values, outliers, data inconsistency, datatype issues, and duplicates like a pro. Plus, discover time-saving automation tips. Don't miss out on essential data science insights!
If you found this video helpful, please subscribe to our channel for more valuable data science content. For additional resources, visit stratascratch.com
______________________________________________________________________
👉 Subscribe to the 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
👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube
👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+cleaning+data+10x+ds
______________________________________________________________________
Timeline:
Intro: (0:00)
Mistake 1: (0:33)
Mistake 2: (1:06)
Mistake 3: (1:54)
Mistake 4: (2:31)
Mistake 5: (3:11)
Solutions: (3:51)
Conclusion: (4:52)
______________________________________________________________________
About The Platform:
StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+cleaning+data+10x+ds) is 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?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+cleaning+data+10x+ds. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, 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 us at team@stratascratch.com
______________________________________________________________________
#DataScience #DataCleaning #DataAnalysis #DataQuality #Automation
![Solving Complex SQL Interview Questions [How to organize lengthy code solutions]](https://i.ytimg.com/vi/vLjAG9eXkcU/mqdefault.jpg "Solving Complex SQL Interview Questions [How to organize lengthy code solutions]
Lets talk about a framework to organize lengthy SQL code on a data science interview or on the job. Most data science problems involve numerous business rules and deal with complicated logic. Your code might end up being hundreds of lines long. How do we properly organize our solution? I lay out a framework that can help anyone.
Link to the question: https://platform.stratascratch.com/coding/9701-3rd-most-reported-health-issues?python=null&utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
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/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
Timestamps:
Intro: (0:00)
4 Tips on Approaching Writing Lengthy Code: (1:35)
Interview Question: (4:50)
Exploring the Data: (5:20)
Writing Out the Approach: (5:58)
Solution: (7:20)
Conclusion: (13:25)
About The Platform:
Im using StrataScratch, 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")
![[Part 2] EDGE Cases in Data Analysis: How to Reduce the Risk of Missing Important Details](https://i.ytimg.com/vi/vQmk0bH25d0/mqdefault.jpg "[Part 2] EDGE Cases in Data Analysis: How to Reduce the Risk of Missing Important Details
In this video, you will learn how considering the EDGE cases help in data analysis to reduce the risks of missing important details.
Part 1: https://www.youtube.com/shorts/rEaSskQhId4
👉 Watch the full video: https://youtu.be/yQSZT65WET4
👉 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
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
#EDGEcase #DataAnalysis")
![Using Python Pandas for Building Ubers Business Models [Part 3]](https://i.ytimg.com/vi/xlppLbv7nb0/mqdefault.jpg "Using Python Pandas for Building Ubers Business Models [Part 3]
Welcome to the final episode in our Uber Data Science Project Series! In this video, we dive into solving Ubers Partner Business Modeling data project using Python to filter data and find the answers. Specifically, we tackle scenario two, where we calculate the net earnings per year of a taxi driver who generates $200 per day before expenses. We also calculate how much the drivers gross fares need to increase per week to fully pay for a $40,000 car and maintain the same yearly profit as before, assuming the driver partners with Uber. Join us as we walk you through the process and share the exciting final results of this data project. Dont forget to subscribe and hit the notification bell to stay updated on our latest content.
Watch our previous video:
📌 Part 1: Exploratory Data Analysis For An Uber Python Data Science Project: https://youtu.be/ZOthTms86Bw
📌 Part 2: Using Python Pandas To Answer Business Questions For An Uber Data Science Project: https://www.youtube.com/watch?v Lzi4Qoy2v4
🧑💻 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+partner+business+modeling+uber+project+3
👉 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+partner+business+modeling+uber+project+3
Timeline:
Intro: (0:00)
Exploring and understanding the data: (0:15)
Coding the solution: (1:26)
Conclusion: (8:46)
About The Platform:
Im using StrataScratch (https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+partner+business+modeling+uber+project+3), 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+partner+business+modeling+uber+project+3. 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 #DataScienceProject #UberDataScienceProject")
