Introduction to GitHub and Version Control for Data Analysts

This folder contains training materials for learning Git and GitHub, specifically designed for data analysts working with Python.

Contents

• version_control_for_data_analysts.ipynb - Interactive Jupyter notebook with theory, examples, and exercises

What You'll Learn

• 🎯 Why version control matters for data analysis workflows
• 🛠️ Essential Git commands for daily use
• 📊 Practical examples with Python data analysis code
• 🌿 Branching strategies for experimentation
• 👥 Collaboration best practices for data science teams
• 📝 Professional commit message conventions

Prerequisites

• Basic Python knowledge
• Jupyter notebook environment
• Git installed on your system (optional for reading, required for practice)

How to Use This Material

1. Open the Jupyter notebook in your preferred environment
2. Follow along with the explanations and code examples
3. Complete the practice exercises
4. Try implementing the Git commands in your own project

Getting Started

If you're new to Git:

1. Install Git from git-scm.com
2. Create a GitHub account at github.com
3. Work through the notebook step by step
4. Practice with a real project

Next Steps

After completing this introduction:

• Create your first repository on GitHub
• Start using version control for your analysis projects
• Explore advanced topics like GitHub Actions and Git LFS for large data files

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Happy learning! 🚀📊