The Data Science Industry Has a Problem (And Youre Part of It) @stratascratch
The Data Science Industry Has a Problem (And Youre Part of It)  @stratascratch
Uploaded March 2026 | Updated September 2026, 5 hours ago
The Data Science Industry doesn’t work the way your bootcamp told you it does. Your $49 Udemy course lied to you. And honestly? Your data science professors probably never worked a real job in their lives.

The "just fill nulls and remove outliers" approach isn't data science - it's cosplay. And if you're still doing it, you're not just wasting time. You're actively making things worse.

After years in the Data Science industry, I'm done sugarcoating it.

In this video, I'll show you:
🎯 Why duplicate IDs and null customer fields aren't data problems - they're business failures you're too scared to call out
🎯 The exact reason your "data quality" tickets sit ignored for 8 months (and how to get them fixed in 2 days)
🎯 Why every time you drop rows or overwrite values, you're destroying evidence like an amateur
🎯 How to talk to stakeholders, PMs, and engineers who will absolutely try to gaslight you about how the data works
🎯 The 4 rules that separate data scientists in the Data Science Industry from really well-paid Excel jockeys

If you just finished a bootcamp, landed your first data role, or feel like real-world data is nothing like what you practiced on - this video is for you. It's going to be uncomfortable. Watch it anyway.

πŸ”” Subscribe for the data science content nobody else wants to say out loud.

___________________________________
πŸ“š Resources to Level Up Your Data Science Career
πŸ‘‰ Join our channel for no-BS data science advice : bit.ly/2GsFxmA
πŸ‘‰ Playlist for more data science interview questions and answers: bit.ly/3jifw81
πŸ‘‰ Playlist for data science interview tips: bit.ly/2G5hNoJ
πŸ‘‰ Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube
πŸ‘‰ 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+ds+industry+has+problem
______________________________________________________________________

πŸ“… Video Timeline:

0:00 –Intro
0:15 – The "Data Cleaning" Myths
0:39 – Messy Data Is a Business Problem, Not Yours to Fix
0:49 – The Investigation Phase (Everyone Has Been Lying to You)
1:28 – Why Data Science Hiring Is Completely Broken
2:21 – How to Stop Being Part of the Problem
2:31 – Rule 1: Demand Context or Don't Touch the Data
2:57 – Rule 2: Speak Money, Not Math
3:37 – Rule 3: Stop Destroying Evidence
4:03 – Rule 4: Document Like You're Building a Legal Case
4:48 – The Hard Truth About Your Job Title

______________________________________________________________________

About StrataScratch:

StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+ds+industry+has+problem) 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+ds+industry+has+problem. 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.

______________________________________________________________________

πŸ“§ Contact Us: Got questions or feedback? Drop them in the comments or email us at team@stratascratch.com.
_____________________________________________________________________

#datascience #datasciencejobs #techcareers #datacleaning #bootcamp
The Data Science Industry Has a Problem (And Youre Part of It)Data Science SQL Interview Question Walkthrough [Microsoft] - Window Function: RankingData Provides vs Data Users: Choose Your Job in Data ScienceThe Most Popular Algorithms For BeginnersAirbnb Python Coding Practice for InterviewSQL Interview Questions From MICROSOFT | Expensive Projects (Data Science Interview Questions)AI Can Solve Your Data Science Take-Home. Can You Still Defend It?Top Data Science Interview Question And Answer Mistakes 2021 [Asked By Amazon]Dealing With Python Date Manipulations In a Meta/Facebook Data Science Interview QuestionAI Proof Your Data Science Career With These 4 Skills5 Ways to Impress as a Data ScientistWhen A/B Tests Lie: Simpsons Paradox Explained
StrataScratch |

The Data Science Industry Has a Problem (And You're Part of It)

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER