Python Data Analysis Tutorial 📊

Python is a powerful language for data analysis due to its rich ecosystem of libraries. Below are key tools and resources to get started:

📚 Core Libraries

• Pandas for data manipulation
  
  

  Pandas
  
  Essential for handling structured data like CSV/Excel files.
• NumPy for numerical computations
  
  

  NumPy
  
  Underlies many data analysis operations with efficient array handling.
• Matplotlib & Seaborn for visualization
  
  

  Matplotlib
  
  Create insightful charts and graphs to explore data patterns.

🧠 Learning Path

1. Beginner's Guide to Python Data Analysis
2. Data Cleaning with Pandas
3. Statistical Analysis Techniques

🛠️ Practice Projects

• Analyze a public dataset (e.g., Kaggle datasets)
• Build a simple dashboard using Plotly
• Explore machine learning integration with Scikit-learn

For deeper insights, check our Data Analysis with Python guide for advanced topics!