1. Data Science Interview Question Resources
About This Guide
A comprehensive collection of community-recommended resources for data science interview preparation. These sources are valued by real practitioners, featuring GitHub repositories with significant stars, practice platforms used by the community, and actual interview experiences from top companies.
Made with ❤️ for the data science community
1.1 📊 Quick Reference Table
All topics have 5+ high-quality sources with direct links to interview questions:
| Topic | Total Sources | Direct Question Links | GitHub Repos | Practice Platforms |
|---|---|---|---|---|
| 1.2 Python | 8+ | 6 links | 4 repos (8.8k⭐) | LeetCode, HackerRank, StrataScratch |
| 1.3 Machine Learning | 10+ | 6 links | 6 repos (3.5k⭐) | Blind, Books |
| 1.4 NLP | 7+ | 6 links | 5 repos | Coursera, Glassdoor |
| 1.5 GenAI | 6+ | 6 links | 2 repos (5k⭐) | DataCamp, Medium |
| 1.6 Deep Learning | 8+ | 6 links | 4 repos | Blind, Glassdoor |
| 1.7 Probability | 10+ | 8 links | 3 repos (8.8k⭐) | StrataScratch, DataLemur |
| 1.8 Pandas | 9+ | 7 links | 4 repos (20k⭐) | InterviewQuery, DataCamp |
| 1.9 NumPy | 8+ | 7 links | 4 repos (20k⭐) | InterviewBit, MLStack.Cafe |
| 1.10 SQL | 12+ | 6 links | 6 repos (3.5k⭐) | DataLemur, StrataScratch, LeetCode |
1.2 🐍 Python
Python Interview Resources - 20+ Community Sources
1.2.1 📚 GitHub Repositories (Community-Driven)
| # | Repository | Stars | Description |
|---|---|---|---|
| 1 | youssefHosni/DS-Interview-QA | 1.5k+ ⭐ | Curated list of Python interview Q&A for data scientists |
| 2 | alexeygrigorev/data-science-interviews | 8.5k+ ⭐ | Comprehensive interview questions including Python coding |
| 3 | kojino/120-DS-Questions | 8.8k+ ⭐ | Answers to 120 commonly asked data science interview questions |
| 4 | Devinterview-io/data-scientist-questions | Active | Data scientist interview questions 2025 |
| 5 | Devinterview-io/python-questions | Active | Python interview questions for developers |
| 6 | Tanu-N-Prabhu/Python Coding Interview Prep | Community | Beginner to advanced Python coding questions |
| 7 | rbhatia46/DS-Interview-Resources | 500+ ⭐ | Curated data science interview resources |
| 8 | khanhnamle1994/cracking-ds-interview | 3k+ ⭐ | Comprehensive DS interview preparation |
| 9 | amitshekhariitbhu/ml-questions | 500+ ⭐ | ML interview questions including Python |
1.2.2 💻 Practice Platforms
| # | Platform | Description |
|---|---|---|
| 10 | LeetCode Python | 2000+ Python coding problems |
| 11 | HackerRank Python | Python practice for data science roles |
| 12 | StrataScratch | Real Python interview questions from companies |
| 13 | Kaggle | Python data science practice |
1.2.3 💬 Reddit Community Discussions
| # | Discussion | Focus Area |
|---|---|---|
| 14 | Python Coding Questions Practice | Coding practice resources |
| 15 | Python Interview Questions Guide | Interview preparation |
| 16 | Data Scientist Python Interview Essentials | DS-specific Python |
| 17 | How to Prepare for DS Python Interviews at FAANG | FAANG preparation |
| 18 | LeetCode Resources for DS | LeetCode strategy |
| 19 | Entry-Level DS Interview Questions | Real interview questions |
| 20 | 78 Python DS Practice Problems | Practice problems |
1.2.4 📖 Additional Resources
| # | Source | Description |
|---|---|---|
| 21 | DataInterview - Reddit DS Interview | Reddit company interview insights |
| 22 | LinkedIn - Youssef Hosni | Curated question collection |
1.2.5 🔗 Direct Links to Interview Questions
1.3 🤖 Machine Learning
Machine Learning Interview Resources - 30+ Community Sources
1.3.1 📚 GitHub Repositories (Community-Driven)
| # | Repository | Stars | Description |
|---|---|---|---|
| 1 | alirezadir/ML-Interviews | 3.5k+ ⭐ | Guide based on offers from Meta, Google, Amazon, Apple, Roku |
| 2 | khangich/ml-interview | 1k+ ⭐ | Real questions from FAANG, Snapchat, LinkedIn |
| 3 | amitshekhariitbhu/ml-questions | 500+ ⭐ | Your cheat sheet for machine learning interview |
| 4 | andrewekhalel/MLQuestions | 1.5k+ ⭐ | ML and computer vision engineer technical questions |
| 5 | jl33-ai/1000-ml-questions | 500+ ⭐ | Prepare for ML, programming, and quant interviews |
| 6 | youssefHosni/DS-Interview-QA (ML Section) | 1.5k+ ⭐ | ML interview questions & answers for data scientists |
| 7 | khanhnamle1994/cracking-ds-interview | 3k+ ⭐ | Cheatsheets, books, questions, and portfolio |
| 8 | QuickLearner171998/ml-interview-prep | Community | Comprehensive ML interview preparation |
| 9 | aishwaryanr/awesome-genai-guide | 5k+ ⭐ | Generative AI guide with ML fundamentals |
| 10 | rbhatia46/DS-Interview-Resources | 500+ ⭐ | Curated ML interview resources |
1.3.2 📚 Books & Comprehensive Guides
| # | Source | Description |
|---|---|---|
| 11 | Chip Huyen's ML Interviews Book | 200+ knowledge questions with difficulty levels |
1.3.3 💬 Reddit Community Discussions
| # | Discussion | Focus Area |
|---|---|---|
| 12 | ML Interview Prep Resources | Comprehensive ML prep strategies |
| 13 | ML Interview Questions & Answers | Community-recommended resources |
| 14 | Best ML Interview Preparation | Discussion on best prep resources |
| 15 | ML Engineer Interview Experience | Real ML theory interview questions |
| 16 | Common ML Interview Questions | Community-sourced common questions |
| 17 | ML System Design Questions | ML system design focus |
| 18 | Entry-Level ML Interviews | Entry-level expectations |
1.3.4 💻 Practice Platforms & Tools
| # | Platform | Description |
|---|---|---|
| 19 | Prepfully - ML Interview Questions | Real ML questions from top companies |
| 20 | Glassdoor ML Interviews | Actual ML interview experiences |
1.3.5 📖 Additional Resources
| # | Source | Description |
|---|---|---|
| 21 | LinkedIn - ML Interview Guide | Curated ML question collection |
| 22 | Blind - Toughest ML Questions | Real tough ML questions from community |
| 23 | Blind - ML Prep Thread | ML and data science interview preparation |
1.3.6 🔗 Direct Links to Interview Questions
1.4 💬 Natural Language Processing (NLP)
NLP Interview Resources - 20+ Community Sources
1.4.1 📚 GitHub Repositories (Community-Driven)
| # | Repository | Stars/Type | Description |
|---|---|---|---|
| 1 | Devinterview-io/nlp-questions | Active | NLP interview questions for 2025 |
| 2 | MukundAabha/DS-ML-DL-NLP-Qus | Community | Comprehensive cheat sheet with interview questions |
| 3 | rbhatia46/DS-Interview-Resources | 500+ ⭐ | Curated sources including NLP resources |
| 4 | masmahbubalom/InterviewQuestions | Active | Collection of DS, AI, ML, DL, NLP, CV questions |
| 5 | youssefHosni/DS-Interview-QA | 1.5k+ ⭐ | Part of comprehensive DS interview collection |
| 6 | andrewekhalel/MLQuestions | 1.5k+ ⭐ | Includes NLP technical questions |
1.4.2 💬 Reddit Community Discussions
| # | Discussion | Focus Area |
|---|---|---|
| 7 | NLP Interview Preparation | NLP-specific interview prep |
| 8 | NLP Engineer Interview Questions | Real NLP engineer questions |
| 9 | NLP Research Interview Experience | Research-focused NLP interviews |
| 10 | NLP Coding Questions | NLP coding challenges |
| 11 | LLM Interview Questions | Large language model questions |
1.4.3 💻 Practice Platforms & Tools
| # | Platform | Description |
|---|---|---|
| 12 | Prepfully - NLP Questions | Real NLP interview questions from companies |
| 13 | Coursera NLP Questions | 14 common NLP interview questions |
| 14 | Glassdoor NLP Roles | Real interview experiences for NLP roles |
1.4.4 📖 Additional Resources
| # | Source | Description |
|---|---|---|
| 15 | LinkedIn - NLP Interview Guide | Curated NLP question collection |
| 16 | Medium - NLP Interview Prep | Comprehensive NLP interview guide |
1.4.5 🔗 Direct Links to Interview Questions
- 365 Data Science NLP Interview Questions
- GeeksforGeeks Advanced NLP Interview Questions
- ProjectPro NLP Interview Questions & Answers
- Sprintzeal NLP Interview Questions
- MLStack.Cafe NLP Interview Questions
- Analytics Vidhya Top 100 Data Science Questions
- InterviewBit NLP Questions
- DataCamp NLP Interview Questions
1.5 ✨ Generative AI (GenAI)
Generative AI Interview Resources - 20+ Community Sources
1.5.1 📚 GitHub Repositories (Community-Driven)
| # | Repository | Stars | Description |
|---|---|---|---|
| 1 | aishwaryanr/awesome-genai-guide | 5k+ ⭐ | One stop repository for generative AI research & interviews |
| 2 | rbhatia46/DS-Interview-Resources | 500+ ⭐ | Frequently updated with new GenAI resources |
| 3 | Devinterview-io/generative-ai-questions | Active | Generative AI questions for 2025 |
| 4 | youssefHosni/DS-Interview-QA | 1.5k+ ⭐ | Includes GenAI section |
1.5.2 💬 Reddit Community Discussions
| # | Discussion | Focus Area |
|---|---|---|
| 5 | GenAI Interview Preparation | GenAI interview strategies |
| 6 | LLM Interview Questions | Large language model focus |
| 7 | Generative AI Career Discussion | Career insights and questions |
| 8 | GenAI Engineer Interview Tips | Practical interview tips |
1.5.3 💻 Practice Platforms & Tools
| # | Platform | Description |
|---|---|---|
| 9 | Prepfully - GenAI Questions | Real GenAI interview questions |
| 10 | Glassdoor - GenAI Roles | Actual interview experiences |
1.5.4 📝 Blog Posts & Articles
| # | Source | Description |
|---|---|---|
| 11 | DataCamp | Top 30 generative AI questions for 2025 |
| 12 | Analytics Vidhya | Updated May 2025 with MCQs |
| 13 | ProjectPro | Most asked generative AI interview questions |
1.5.5 💡 Community Insights
| # | Platform | Description |
|---|---|---|
| 14 | Medium - GenAI Prep | GenAI engineer interview prep guide |
| 15 | LinkedIn - GenAI Questions | Curated GenAI collection |
1.5.6 🔗 Direct Links to Interview Questions
- DataCamp GenAI Interview Questions
- Top 25 GenAI Interview Questions & In-Depth Answers
- Data Science Dojo Interview Questions for AI Scientists
- GeeksforGeeks Generative AI Questions with Answers
- Edureka Generative AI Interview Questions
- Verve Copilot Top 30 Gen AI Questions
- InterviewBit Generative AI Questions
- Simplilearn GenAI Interview Questions
1.6 🧠 Deep Learning
Deep Learning Interview Resources - 25+ Community Sources
1.6.1 📚 GitHub Repositories (Community-Driven)
| # | Repository | Stars/Type | Description |
|---|---|---|---|
| 1 | Devinterview-io/dl-questions | Active | Deep learning questions for 2025 |
| 2 | youssefHosni/DS-Interview-QA (DL) | 1.5k+ ⭐ | Deep learning Q&A for data scientists |
| 3 | andrewekhalel/MLQuestions | 1.5k+ ⭐ | ML and DL technical interview questions |
| 4 | Sroy20/ml-interview-questions | Community | Curated deep learning questions |
| 5 | alirezadir/ML-Interviews | 3.5k+ ⭐ | Includes DL sections from FAANG interviews |
| 6 | rbhatia46/DS-Interview-Resources | 500+ ⭐ | Includes DL resources |
1.6.2 💬 Reddit Community Discussions
| # | Discussion | Focus Area |
|---|---|---|
| 7 | Deep Learning Interview Prep | DL interview strategies |
| 8 | DL Interview Questions Thread | Community-sourced DL questions |
| 9 | Neural Networks Interview Questions | NN-specific questions |
| 10 | Computer Vision Interview Prep | CV and DL questions |
| 11 | Deep Learning Engineer Expectations | Role expectations and questions |
1.6.3 💻 Practice Platforms & Tools
| # | Platform | Description |
|---|---|---|
| 12 | Prepfully - Deep Learning | Real DL interview questions |
| 13 | Glassdoor - DL Roles | Real deep learning interview experiences |
1.6.4 📖 Educational Resources
| # | Source | Description |
|---|---|---|
| 14 | DataCamp | Top 20 deep learning interview Q&A |
| 15 | InterviewBit | Comprehensive DL interview guide |
| 16 | LinkedIn - DL Questions | Curated DL collection |
1.6.5 💡 Additional Resources
| # | Source | Description |
|---|---|---|
| 17 | Blind - Hardest DL Questions | Hardest DS/ML/DL questions from community |
| 18 | Medium - DL Interview Guide | Comprehensive DL guide |
1.6.6 🔗 Direct Links to Interview Questions
1.7 📊 Probability & Statistics
Probability & Statistics Interview Resources - 30+ Community Sources
1.7.1 📚 GitHub Repositories (Community-Driven)
| # | Repository | Stars | Description |
|---|---|---|---|
| 1 | kojino/120-DS-Questions (Prob) | 8.8k+ ⭐ | Probability questions from 120 DS questions |
| 2 | alexeygrigorev/data-science-interviews | 8.5k+ ⭐ | Statistics and probability questions |
| 3 | youssefHosni/DS-Interview-QA (Stats) | 1.5k+ ⭐ | Statistics interview questions |
| 4 | khanhnamle1994/cracking-ds-interview | 3k+ ⭐ | Includes probability & stats sections |
| 5 | rbhatia46/DS-Interview-Resources | 500+ ⭐ | Probability and statistics resources |
1.7.2 💬 Reddit Community Discussions
| # | Discussion | Focus Area |
|---|---|---|
| 6 | Probability Interview Questions | Probability-specific prep |
| 7 | Statistics Questions for DS Interviews | Statistics focus |
| 8 | Bayes Theorem Interview Questions | Bayes theorem applications |
| 9 | Stats Fundamentals for DS | Core statistics concepts |
| 10 | Probability Puzzles Thread | Probability puzzles |
| 11 | A/B Testing Questions | A/B testing and hypothesis testing |
1.7.3 💻 Practice Platforms
| # | Platform | Description |
|---|---|---|
| 12 | StrataScratch | Real probability & statistics questions |
| 13 | DataInterview | 120 statistics questions for FAANGs |
| 14 | DataLemur | Top 20 statistics questions asked |
| 15 | Prepfully - Statistics | Real statistics interview questions |
1.7.4 📖 Educational Resources
| # | Source | Description |
|---|---|---|
| 16 | NickSingh.com | Questions from FAANG & Wall Street |
| 17 | DataCamp | Top 35 statistics questions 2025 |
| 18 | GeeksforGeeks | Top 50+ statistics questions |
| 19 | Analytics Vidhya | 25 probability and statistics questions |
1.7.5 💡 Additional Resources
| # | Source | Description |
|---|---|---|
| 20 | LinkedIn - Stats Questions | Curated statistics collection |
| 21 | Medium - Probability Guide | Comprehensive probability guide |
| 22 | Glassdoor - Quant Roles | Quant-focused probability questions |
1.7.6 🔗 Direct Links to Interview Questions
- StrataScratch 30 Probability & Statistics Questions
- NickSingh.com 40 Prob & Stats Questions from FAANG
- 14 Probability Problems for Data Science
- Top Important Probability Questions
- FinalRound AI Probability Interview Questions
- DataLemur Statistics Interview Questions
- InterviewBit Probability Questions
- Exponent Top Statistics & DS Questions
- 365 Data Science Statistics Questions
1.8 🐼 Pandas
Pandas Interview Resources - 25+ Community Sources
1.8.1 📚 GitHub Repositories (Community-Driven)
| # | Repository | Stars/Type | Description |
|---|---|---|---|
| 1 | Devinterview-io/pandas-questions | Active | Pandas questions for ML/DS interviews 2025 |
| 2 | FavioVazquez/ds-cheatsheets | 20k+ ⭐ | List of data science cheatsheets including Pandas |
| 3 | pandas-dev/pandas (Official) | Official | Official pandas cheat sheet |
| 4 | aihubprojects/pandas-cheatsheet | Community | Python, NumPy, Pandas cheatsheet collection |
| 5 | rbhatia46/DS-Interview-Resources | 500+ ⭐ | Includes Pandas resources |
| 6 | Gist - Quick Reference | Community | Super quick cheatsheet for common tasks |
1.8.2 💬 Reddit Community Discussions
| # | Discussion | Focus Area |
|---|---|---|
| 7 | Pandas Interview Questions Thread | Pandas-specific prep |
| 8 | Data Manipulation Questions | Pandas data manipulation |
| 9 | Pandas Coding Challenges | Hands-on Pandas practice |
| 10 | DataFrame Operations Questions | DataFrame manipulation |
1.8.3 💻 Practice Platforms
| # | Platform | Description |
|---|---|---|
| 11 | InterviewQuery | Top 27 Pandas questions with answers |
| 12 | DataCamp | Top 26 Pandas interview Q&A |
| 13 | StrataScratch | Pandas questions from real companies |
| 14 | Prepfully - Pandas | Pandas practice interviews |
1.8.4 📖 Educational Resources
| # | Source | Description |
|---|---|---|
| 15 | InterviewBit | Pandas interview guide with downloadable PDF |
| 16 | GeeksforGeeks | Top 50 Pandas questions 2024 |
1.8.5 💡 Additional Resources
| # | Source | Description |
|---|---|---|
| 17 | LinkedIn - Pandas Guide | Curated Pandas collection |
| 18 | Medium - Pandas Interview Prep | Comprehensive Pandas guide |
| 19 | Glassdoor - Data Analyst Roles | Real Pandas interview questions |
1.8.6 🔗 Direct Links to Interview Questions
- DataCamp Top Python Pandas Interview Q&A
- StrataScratch Python Pandas Questions
- GeeksforGeeks Pandas Interview Questions
- Pandas Interview Questions & Answers (Medium)
- Interview Query Pandas Questions
- InterviewBit Pandas Questions
- MLStack.Cafe Pandas Python Questions
- Analytics Vidhya Pandas Questions
- Simplilearn Pandas Interview Questions
1.9 🔢 NumPy
NumPy Interview Resources - 25+ Community Sources
1.9.1 📚 GitHub Repositories (Community-Driven)
| # | Repository | Stars/Type | Description |
|---|---|---|---|
| 1 | Devinterview-io/numpy-questions | Active | NumPy questions for ML/DS interviews 2025 |
| 2 | FavioVazquez/ds-cheatsheets | 20k+ ⭐ | Includes comprehensive NumPy cheatsheets |
| 3 | aihubprojects/numpy-cheatsheet | Community | NumPy cheatsheet with examples |
| 4 | tpn/pdfs | Collection | Technically-oriented PDF collection |
| 5 | rbhatia46/DS-Interview-Resources | 500+ ⭐ | Includes NumPy resources |
| 6 | numpy/numpy (Official Docs) | 28k+ ⭐ | Official NumPy documentation and resources |
1.9.2 💬 Reddit Community Discussions
| # | Discussion | Focus Area |
|---|---|---|
| 7 | NumPy Interview Questions | NumPy-specific prep |
| 8 | NumPy vs Lists Questions | Performance comparisons |
| 9 | Array Operations Questions | NumPy operations |
| 10 | NumPy Broadcasting Questions | Broadcasting concepts |
1.9.3 💻 Practice Platforms
| # | Platform | Description |
|---|---|---|
| 11 | InterviewQuery | Top 19 NumPy questions updated for 2025 |
| 12 | DataCamp | Top 20 NumPy questions: basic to advanced |
| 13 | Prepfully - NumPy | NumPy practice questions |
1.9.4 📖 Educational Resources
| # | Source | Description |
|---|---|---|
| 14 | InterviewBit | NumPy interview guide updated Dec 2024 |
| 15 | MLStack.Cafe | 27 advanced NumPy interview questions |
| 16 | GeeksforGeeks | Comprehensive NumPy questions |
1.9.5 💡 Additional Resources
| # | Source | Description |
|---|---|---|
| 17 | LinkedIn - NumPy Guide | Curated NumPy collection |
| 18 | Medium - NumPy Interview Prep | Comprehensive NumPy guide |
| 19 | Glassdoor - Python Developer Roles | Real NumPy questions |
1.9.6 🔗 Direct Links to Interview Questions
- DataCamp NumPy Interview Questions
- GeeksforGeeks NumPy Interview Questions
- GitHub NumPy Interview Questions
- InterviewBit NumPy Questions
- Verve Copilot 30 Most Common NumPy Questions
- MLStack.Cafe NumPy Interview Questions
- NumPy Interview Questions & Answers (Medium)
- Analytics Vidhya NumPy Questions
- Simplilearn NumPy Interview Questions
1.10 🗄️ SQL
SQL Interview Resources - 35+ Community Sources
1.10.1 📚 GitHub Repositories (Community-Driven)
| # | Repository | Stars | Description |
|---|---|---|---|
| 1 | shawlu95/Beyond-LeetCode-SQL | 3.5k+ ⭐ | Analysis of SQL LeetCode & classic interview questions |
| 2 | mdh266/SQL-Practice | 500+ ⭐ | Solutions from LeetCode, HackerRank & DataLemur |
| 3 | Thomas-George-T/HackerRank-SQL | 1k+ ⭐ | All SQL HackerRank challenges using MySQL |
| 4 | mrinal1704/SQL-Leetcode | 100+ ⭐ | All 117 LeetCode questions with solutions |
| 5 | ManikantaSanjay/LeetCode-SQL-70 | Active | Collection to ace coding interviews |
| 6 | TulipAggarwal/LeetCode-SQL50 | Active | Wide array of SQL concepts |
| 7 | alexeygrigorev/data-science-interviews | 8.5k+ ⭐ | Includes SQL interview questions |
| 8 | rbhatia46/DS-Interview-Resources | 500+ ⭐ | SQL resources for DS roles |
1.10.2 💬 Reddit Community Discussions
| # | Discussion | Focus Area |
|---|---|---|
| 9 | SQL Interview Questions Thread | SQL interview prep |
| 10 | Best Resources for SQL Practice | Practice platforms |
| 11 | SQL Window Functions Questions | Window functions focus |
| 12 | Common SQL Mistakes in Interviews | Interview pitfalls |
| 13 | SQL for Data Analyst Roles | Data analyst focus |
| 14 | Advanced SQL Questions | Advanced concepts |
| 15 | SQL vs NoSQL Interview Questions | Database comparisons |
1.10.3 💻 Practice Platforms (Most Popular)
| # | Platform | Description |
|---|---|---|
| 16 | LeetCode SQL | 200+ SQL problems from real interviews |
| 17 | DataLemur | Real SQL questions from FAANG companies |
| 18 | StrataScratch | 1000+ questions from 150 companies |
| 19 | HackerRank SQL | Comprehensive SQL challenges |
| 20 | Prepfully - SQL | Company-specific SQL questions |
| 21 | InterviewQuery | SQL for data science roles |
1.10.4 📖 Educational Resources
| # | Source | Description |
|---|---|---|
| 22 | DataCamp | Beginner to intermediate SQL Q&A |
| 23 | GeeksforGeeks | Top 50+ SQL questions |
| 24 | InterviewBit | Comprehensive SQL interview guide |
1.10.5 💡 Community Resources
| # | Source | Description |
|---|---|---|
| 25 | Blind - SQL Interview | Real SQL interview experiences (Reddit company) |
| 26 | KDnuggets | Practical SQL & Python questions |
| 27 | Glassdoor - SQL Developer | Real SQL interview experiences |
| 28 | LinkedIn - SQL Questions | Curated SQL collection |
1.10.6 🔗 Direct Links to Interview Questions
- Interview Query Data Science SQL Questions
- DataLemur SQL Practice Questions
- DataCamp Top SQL Interview Questions & Answers
- StrataScratch SQL Interview Questions Guide
- DataInterview Top 100 SQL Questions
- 365 Data Science SQL Interview Questions
- GeeksforGeeks SQL Questions
- Analytics Vidhya SQL Questions
- Simplilearn SQL Interview Questions
1.11 📚 Comprehensive Multi-Topic Resources
All-in-One Data Science Interview Resources
1.11.1 🌟 Top GitHub Collections
| # | Repository | Stars | Description |
|---|---|---|---|
| 1 | alexeygrigorev/data-science-interviews | 8.5k+ ⭐ | Technical questions covering SQL, Python, coding |
| 2 | kojino/120-DS-Questions | 8.8k+ ⭐ | 120 commonly asked DS questions with answers |
| 3 | youssefHosni/DS-Interview-QA | 1.5k+ ⭐ | Curated list across 6 categories |
| 4 | khanhnamle1994/cracking-ds-interview | 3k+ ⭐ | Cheatsheets, books, questions, portfolio |
| 5 | rbhatia46/DS-Interview-Resources | 500+ ⭐ | Potential sources, frequently updated |
| 6 | PavelGrigoryevDS/awesome-data-analysis | 1k+ ⭐ | 500+ curated resources for beginners & experts |
| 7 | benthecoder/ds-interview-resources | 500+ ⭐ | Collection of awesome DS interview resources |
| 8 | ajitsingh98/DS-Interview-QA | 500+ ⭐ | 1000+ most asked DS questions |
1.12 💼 Real Interview Experiences
Glassdoor & Blind - Actual Interview Questions
1.12.1 🏢 Glassdoor Interview Experiences
| # | Company | Key Topics Covered |
|---|---|---|
| 1 | Google Data Scientist | ML algorithms, SQL, Python, A/B testing |
| 2 | Meta Data Scientist | Data cleaning, modeling, system design, case studies |
| 3 | Amazon Data Scientist | Pandas coding, regularization, bias/variance, A/B testing |
| 4 | LinkedIn Data Scientist | Probability sampling, logistic regression algorithms |
| 5 | Reddit Data Scientist | SQL-heavy, nested subqueries, CTEs, window functions |
1.12.2 💬 Blind Community Discussions
| # | Discussion Topic | Topics Covered |
|---|---|---|
| 1 | Toughest DS/ML Questions | SGD, logistic regression, regularizers, PCA |
| 2 | Hardest DS/ML Questions | Advanced ML theory and implementation |
| 3 | DS Interview Question Bank | Community-sourced question bank |
| 4 | ML Interview Prep | Comprehensive ML/DS prep strategies |
| 5 | Google ML Interview | Gradient descent, normalization, regularization, embeddings |
1.13 🎯 Practice Platforms Comparison
Best Platforms for Each Topic
1.13.1 🗄️ For SQL Practice
| Platform | Best For | Community Size | Cost |
|---|---|---|---|
| DataLemur | Real FAANG SQL questions | 20k+ users | Free tier available |
| StrataScratch | Data science-specific SQL | 20k+ users | Subscription required |
| LeetCode | Coding challenges + SQL | Millions | Free tier available |
| HackerRank | Company assessments | 28M+ developers | Free |
1.13.2 💻 For Python/Coding Practice
| Platform | Best For | Community Size | Cost |
|---|---|---|---|
| LeetCode | Algorithmic coding | Millions | Free tier available |
| HackerRank | Data science challenges | 28M+ developers | Free |
| StrataScratch | DS-specific Python | 20k+ users | Subscription required |
1.13.3 🤖 For ML/Theory Questions
| Resource Type | Best For | Cost |
|---|---|---|
| GitHub Repos | Free comprehensive resources | Free |
| Blind/Glassdoor | Real interview experiences | Free |
| Books (Chip Huyen) | In-depth knowledge | One-time purchase |
1.14 📖 Interview Preparation Strategy
How to Use These Resources - Structured 7-Week Plan
1.14.1 📅 Phase 1: Foundation Building (Weeks 1-2)
Focus Areas:
- Start with GitHub repositories like alexeygrigorev/data-science-interviews
- Review Python and SQL basics using community cheatsheets
- Practice 5-10 easy SQL questions daily on LeetCode or DataLemur
Daily Schedule:
- Morning: 1 hour theory review (GitHub repos)
- Afternoon: 1 hour SQL practice
- Evening: 30 min Python coding problems
1.14.2 📅 Phase 2: Concept Mastery (Weeks 3-4)
Focus Areas:
- Deep dive into ML concepts using alirezadir/ML-Interviews
- Study probability/statistics from kojino/120-DS-Questions
- Practice medium difficulty SQL and Python problems
Daily Schedule:
- Morning: 1.5 hours ML theory
- Afternoon: 1 hour probability/statistics
- Evening: 45 min medium-level coding
1.14.3 📅 Phase 3: Company-Specific Prep (Weeks 5-6)
Focus Areas:
- Read Glassdoor interview experiences for target companies
- Review Blind discussions for insider insights
- Practice on StrataScratch for real company questions
Daily Schedule:
- Morning: Company-specific question review
- Afternoon: Mock interviews (timed)
- Evening: Review and improve solutions
1.14.4 📅 Phase 4: Mock Interviews (Week 7+)
Focus Areas:
- Do timed practice sessions
- Review GitHub repos for advanced topics
- Focus on weak areas identified during practice
Daily Schedule:
- Full mock interview sessions (2-3 hours)
- Detailed review and improvement
- Target weak areas
1.15 ⚠️ Common Pitfalls & Best Practices
Common Pitfalls to Avoid
1.15.1 ❌ What NOT to Do
- Don't just read questions - Actually code the solutions
- Don't skip probability/statistics - Very common in interviews
- Don't ignore SQL - It's tested even for ML roles
- Don't only study theory - Practice is equally important
- Don't rely solely on SEO blogs - Use community resources
- Don't memorize without understanding - Interviewers can tell
- Don't practice only easy problems - Mix difficulty levels
Community Recommendations
Based on Reddit, Blind, and GitHub discussions, the most recommended resources are:
1.15.2 🏆 Top Picks by Category
| Category | Top Recommendation | Why? |
|---|---|---|
| GitHub | alexeygrigorev/data-science-interviews (8.5k⭐) | Most comprehensive, actively maintained |
| SQL Practice | DataLemur + StrataScratch | Real company questions, DS-focused |
| ML Theory | Chip Huyen's ML Interviews Book | 200+ questions with difficulty levels |
| Real Questions | Glassdoor + Blind community | Actual interview experiences |
| Python | LeetCode Easy-Medium problems | Best for algorithmic thinking |
| Comprehensive | khanhnamle1994/cracking-the-data-science-interview | All-in-one resource |
1.15.3 💡 Pro Tips from the Community
- Use Spaced Repetition: Review questions after 1 day, 1 week, 1 month
- Join Study Groups: Reddit r/datascience, Discord communities
- Track Your Progress: Use spreadsheets to monitor weak areas
- Focus on Fundamentals: Master basics before advanced topics
- Practice Explaining: Use the Feynman technique
1.16 📝 Contributing
Found a Great Resource?
Many of these GitHub repos accept contributions. If you've found a resource that the community loves:
- Fork the respective repository
- Add your finding with proper documentation
- Submit a pull request
- Help the community grow!