Data Analysis with Python
Month 1: Introduction to Python for Data Analysis
- Setting up the development environment
- Basic data types and structures in Python
- Control structures: if-else, loops
- Functions and modules
- File handling and input/output operations
- Introduction to Numpy and its usage
Month 2: Introduction to Data Analysis with Pandas
- Introduction to Pandas library
- Data structures in Pandas: Series, DataFrames
- Data cleaning and preparation using Pandas
- Data manipulation and exploration using Pandas
- Data aggregation and grouping using Pandas
- Merging and joining data with Pandas
Month 3: Data Visualization with Matplotlib
- Introduction to Matplotlib
- Basic visualization using Matplotlib
- Advanced visualization using Matplotlib: subplots, axes, and figures
- Creating interactive visualizations using Matplotlib
- Data visualization with Seaborn
- Exporting visualizations in different formats
