The Best Free Data Science Cheat Sheet on GitHub Every Beginner Should Bookmark

🧠 Master Data Science Faster with This Free GitHub Cheat Sheet

Whether you’re starting your data science journey or preparing for job interviews, having the right revision tool can make all the difference. And this free Data Science Cheat Sheet on GitHub is one of the best out there.

Created and maintained by Aaron Wang, this repository condenses the most important concepts in a clear, organized, and beginner-friendly format — making it a must-have resource for students and professionals alike.

𝐏𝐚𝐲 𝐀𝐟𝐭𝐞𝐫 𝐏𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐏𝐫𝐨𝐠𝐫𝐚𝐦- 𝐆𝐞𝐭 𝐏𝐥𝐚𝐜𝐞𝐝 𝐈𝐧 𝐓𝐨𝐩 𝐌𝐍𝐂'𝐬

🔍 What’s Inside This Cheat Sheet?

The cheat sheet covers all the core pillars of data science, including:

📊 Statistics & Probability – Key distributions, tests, and inference methods
🐍 Python for Data Science – Essential libraries, syntax, and data structures
🧠 Machine Learning – Supervised/unsupervised models, evaluation metrics
💾 SQL Basics – Queries, joins, aggregations, and subqueries
📈 Data Wrangling & Visualization – Pandas, NumPy, Matplotlib, Seaborn
📚 Deep Learning – Neural networks, frameworks, and optimizers
🧪 Interview Prep – High-yield topics and conceptual questions

Each section is filled with compact notes and examples, perfect for quick review or last-minute preparation.

🎓 Who Should Use This?

This GitHub resource is ideal for:

✅ Data science beginners
✅ Job seekers preparing for tech interviews
✅ Students looking for a study companion
✅ Working professionals needing a quick refresher

🔗 Access the Cheat Sheet Here:

👉 GitHub – Data Science Cheatsheet by Aaron Wang

Final Thoughts

Learning data science is a marathon, not a sprint—but having the right tools can speed up your progress. This cheat sheet simplifies complex topics into digestible notes, helping you revise smarter, not harder.

📌 Bookmark it. Use it. Share it with fellow learners.

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