3 Beginner-Friendly GitHub Repositories to Start Your Data Analytics Journey

💡 Struggling to Find Beginner-Friendly Projects in Data Analytics?

If you’re new to data analytics and don’t know where to start, these GitHub repositories are a goldmine for hands-on practice!

Whether you’re learning Python, SQL, or Pandas, these open-source resources will help you apply your knowledge, boost your confidence, and start building a strong portfolio.

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

🔍 1. Pandas Exercises – Practice Core Data Manipulation Skills

📂 Repo: github.com/guipsamora/pandas_exercises

A collection of exercises to master Pandas, the most popular Python library for data analysis.
Topics include filtering, grouping, merging, and reshaping data.
Great for learners who want to practice real-world data manipulation.

🎥 2. Data Analysis with Python – Learn with Videos and Notebooks

📂 Repo: github.com/justmarkham/pandas-videos

Created by Data School, this repository combines YouTube tutorials with code notebooks.
Covers a wide range of topics in data analysis using Python and Pandas.
Ideal for visual learners who want to learn by doing.

🗃️ 3. Beginner SQL Project – Explore Databases Hands-On

📂 Repo: github.com/datacharmer/test_db

A classic sample database used for learning SQL with MySQL.
Perfect for practicing joins, queries, and data extraction.
Excellent for anyone who wants to understand relational databases from the ground up.

💼 Why You Should Explore These GitHub Projects

✅ Hands-on experience with real-world datasets
🚀 Build a portfolio to showcase your skills
👩‍💻 Strengthen your understanding of Python and SQL
🔗 Easy to fork, clone, and contribute
🧠 Learn by doing instead of just watching tutorials

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