JifuZhao/DS-Take-Home resource

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1719 stars · 848 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of Jupyter Notebook solutions to the 20 data science take-home challenges from the book 'A Collection of Data Science Take-Home Challenges'. It covers problems like A/B testing, funnel analysis, fraud detection, and clustering for self-learning purposes.

Use cases

• prepare for data science take-home interview challenges
• practice A/B test analysis in python
• learn funnel analysis with worked examples
• study fraud detection on transaction data
• practice clustering and user retention analysis
• find example solutions for data science case studies

When to choose

• you are preparing for data science interviews or take-home assignments
• you want worked notebook examples of common analytics problems
• you own the original book and want to compare your solutions

When to avoid

• you need the original datasets - they are not provided and must be purchased from the book author
• you need production-ready data science code or libraries
• you want a maintained tool rather than static educational notebooks

Facets

learning-resource · maturity maintenance

data-science machine-learning analytics data-science education tutorials python cross-platform jupyter-notebooks exercise-solutions interview-preparation take-home-challenges ab-testing funnel-analysis

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