Module 5: Functions and Modules (2 Hours)

• Defining and calling functions.
• Parameters, arguments, and return values.
• Lambda functions and built-in functions.
• Importing and using modules.

Module 6: File Handling and Exception Management (1.5 Hours)

• Reading from and writing to files.
• Working with CSV, JSON, and text files.
• Exception handling (try, except, finally).

Module 7: Introduction to Object-Oriented Programming (1.5 Hours)

• Understanding classes and objects.
• Creating and using classes.
• Attributes, methods, and inheritance.

Module 8: Data Manipulation and Visualization (2 Hours)

• Pandas: DataFrames, data cleaning, and manipulation.
• Matplotlib: Creating line, bar, and scatter plots.
• Combining data analysis with visualization.

Hands-on Lab: Analyzing real-world datasets using Pandas & Matplotlib.

Module 9: Final Project and Wrap-Up (1 Hour)

• Mini-project: Build a small Python application (data analysis script).
• Review and Q&A.
• Next steps for further learning.