Uber Data Science Take Home Assignment | Completely Solved (Hands-on Practice) - Dataset Included 

🚀 Uber Data Science Interview Challenge - Completely Solved! 🚀
Stratascratch Link: platform.stratascratch.com/data-projects/insights-city-supply-and-demand-data
Dataset: raw.githubusercontent.com/everyday-data-science/Data_Science_Projects/refs/heads/main/Insights%20from%20City%20Supply%20and%20Demand/Data/dataset_1.csv
Github Repo: github.com/everyday-data-science/Data_Science_Projects/tree/main/Insights%20from%20City%20Supply%20and%20Demand
Google Colab: colab.research.google.com/
Chapters:
0:00 - Introduction
1:17 - Github Repository
2:09 - Google Colab
2:32 - Loading Dataset & Initial Inspections
4:58 - Data Preprocessing & Further Inspections
9:56 - Question 1
12:56 - Question 2
21:40 - Question 3
23:07 - Question 4
28:35 - Question 5
33:50 - Question 6
36:41 - Question 7
40:21 - Question 8
42:12 - Question 9
45:16 - Question 10
46:40 - Question 11
52:03 - Conclusion
Are you preparing for a data science interview or looking for hands-on practice with real-world data? In this video, I walk you through an Uber Data Science Take-Home Assignment, solving it step by step with real datasets included. Whether you're a beginner or an experienced data scientist, this video is packed with practical insights, coding tips, and strategies to help you ace your next interview.
🔍 What’s covered in this video:
Complete solution to Uber's Data Science interview challenge
Data cleaning, analysis, and visualization techniques
How to structure your approach for take-home assignments
Real-world coding tips for working with datasets
Hands-on experience with common data science tools
👨‍💻 Who is this for?
Aspiring data scientists preparing for interviews
Anyone looking for practical, hands-on data science projects
Professionals who want to level up their skills with challenging projects
💡 Why watch? This series is designed to give you the best hands-on practice with real data science projects. Learn how to tackle interview challenges effectively and get familiar with the tools and techniques that top companies, like Uber, use in their hiring process.
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