Uploaded May 2025 | Updated September 2026, 5 days ago
Think memorizing 47 theorems or mastering matrix math will get you a data science or machine learning engineer job? Think again.
Welcome to Data Science Interview Therapy, where we debunk myths and share exactly what you need to ace your data science interviewβwithout losing your sanity.
π§ What Youβll Actually Learn:
1. The 4 core topics you really need
2. Why your ability to explain PCA in human words matters more than your PhD thesis
3. How to prep smart (not masochistically) if youβve got a life and a job
4. The #1 mistake to avoid: showing off math you canβt explain
π¬ Drop your favorite theorem or most cursed interview question in the comments!
π Like, π¬ comment, and π subscribe for more honest tips (with less stress) about working in data.
___________________________________
π Resources to Level Up Your Data Science Game:
π Join our channel for no-BS data science advice : bit.ly/2GsFxmA
π Playlist for more data science interview questions and answers: bit.ly/3jifw81
π Playlist for data science interview tips: bit.ly/2G5hNoJ
π Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube
π Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+no+one+wants+your+math+degree
______________________________________________________________________
π Video Timeline:
0:00 - Intro: Why Your Math Degree Isnβt Enough
0:21 - The Truth About Data Science Interviews
0:42 - 4 Core Topics You Need to Master
1:32 - Whatβs Overkill (Stop Wasting Time!)
2:13 - Unpopular Opinions on Data Science Prep
2:38 - The Ultimate Preparation Plan
3:26 - How to Prep Smart, Not Masochistic
______________________________________________________________________
About StrataScratch:
StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+no+one+wants+your+math+degree) 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=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+no+one+wants+your+math+degree. 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.
______________________________________________________________________
π§ Contact Us: Got questions or feedback? Drop them in the comments or email us at team@stratascratch.com.
_____________________________________________________________________
#datascience #datascienceinterview #machinelearning #dataanalytics #sql #python #datasciencejobs #techcareers #interviewtips #codinginterview #memes #machinelearningengineer #careeradvice #datascientists #techinterviewprep #faang
Think memorizing 47 theorems or mastering matrix math will get you a data science or machine learning engineer job? Think again.
Welcome to Data Science Interview Therapy, where we debunk myths and share exactly what you need to ace your data science interviewβwithout losing your sanity.
π§ What Youβll Actually Learn:
1. The 4 core topics you really need
2. Why your ability to explain PCA in human words matters more than your PhD thesis
3. How to prep smart (not masochistically) if youβve got a life and a job
4. The #1 mistake to avoid: showing off math you canβt explain
π¬ Drop your favorite theorem or most cursed interview question in the comments!
π Like, π¬ comment, and π subscribe for more honest tips (with less stress) about working in data.
___________________________________
π Resources to Level Up Your Data Science Game:
π Join our channel for no-BS data science advice : bit.ly/2GsFxmA
π Playlist for more data science interview questions and answers: bit.ly/3jifw81
π Playlist for data science interview tips: bit.ly/2G5hNoJ
π Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube
π Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+no+one+wants+your+math+degree
______________________________________________________________________
π Video Timeline:
0:00 - Intro: Why Your Math Degree Isnβt Enough
0:21 - The Truth About Data Science Interviews
0:42 - 4 Core Topics You Need to Master
1:32 - Whatβs Overkill (Stop Wasting Time!)
2:13 - Unpopular Opinions on Data Science Prep
2:38 - The Ultimate Preparation Plan
3:26 - How to Prep Smart, Not Masochistic
______________________________________________________________________
About StrataScratch:
StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+no+one+wants+your+math+degree) 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=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+no+one+wants+your+math+degree. 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.
______________________________________________________________________
π§ Contact Us: Got questions or feedback? Drop them in the comments or email us at team@stratascratch.com.
_____________________________________________________________________
#datascience #datascienceinterview #machinelearning #dataanalytics #sql #python #datasciencejobs #techcareers #interviewtips #codinginterview #memes #machinelearningengineer #careeradvice #datascientists #techinterviewprep #faang









![Classical Machine Learning [DoorDash Data Science Project]
In this video, well be diving deep into machine learning for data science. Well explore some of the most important concepts in machine learning and choose the best-performed model. Well demonstrate how to apply these concepts in practice on the DoorDash data science project Delivery Duration Prediction. Well apply 6 different algorithms, 4 different feature set sizes, and 3 different scalers.
Watch our previous video:
π Part 1: Data Preparation for Modeling: https://youtu.be/Sf6jn8QZHhc
π Part 2: Collinearity and Removing Redundancies: https://youtu.be/m3zEV10qvE8
π Part 3: Multicollinearity and Feature Selection: https://youtu.be/gh5JzALBQvU
π§βπ» Go to the project through the link below and follow along with me: https://platform.stratascratch.com/data-projects/delivery-duration-prediction?utm_source=youtube&utm_medium=click&utm_campaign=YT+classical+ML+doordash+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+classical+ML+doordash+project
Timeline:
Intro: (0:00βββ)
Take-home assignment from DoorDash: (0:23 )
In previous videos: (0:40)
Applying the data to the machine learning model: (1:14)
Applying regression tasks: (2:03)
Changing the problem: (5:17)
Extracting the Prep_duration predictions (7:20)
Deep Learning Method: (10:31)
Conclusion: (β12:44)
About The Platform:
Im using StrataScratch (https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+classical+ML+doordash+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+classical+ML+doordash+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
#StrataScratch #DoordashDataProject #MachineLearning Classical Machine Learning [DoorDash Data Science Project]](https://i.ytimg.com/vi/pqQG_tNXncc/mqdefault.jpg)
![Exploring and Cleaning Data: The First Step in Every Data Project
In this video, were going to start by exploring and cleaning up the data - the first step in every data project. Well maintain how to use some Python libraries like Pandas for data manipulation, NumPy for numerical computation, and Matplotlib for data visualization. Well also include solving a scenario-based question by using the head() function.
Watch the full tutorial:
π Exploratory Data Analysis For An Uber Python Data Science Project [Part 1]: https://youtu.be/ZOthTms86Bw
π§βπ» Go to the question through the link below:
https://platform.stratascratch.com/data-projects/partner-business-modeling/?utm_source=youtube&utm_medium=click&utm_campaign=YT+shorts+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+shorts+data+preparation+uber+project
About The Platform:
Im using StrataScratch (https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+shorts+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+shorts+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 #UberDataScienceProject #PythonInterviewQuestion Exploring and Cleaning Data: The First Step in Every Data Project](https://i.ytimg.com/vi/pqeUTfNFBCU/mqdefault.jpg)