Class 9: Python for Data Science Basics
Summary: Introduction to Python programming essentials for data manipulation, analysis, and visualization.
Learning Objectives:
- Write basic Python code for data science tasks
- Utilize essential data science libraries
- Perform fundamental data operations
Key Topics:
- Python syntax, data types, and control structures
- NumPy for numerical computing fundamentals
- Pandas essentials for data manipulation
- Matplotlib and Seaborn for data visualization basics
Activities:
- Interactive Python coding exercises
- Data cleaning and transformation practice
- Creating basic visualizations from datasets