Course Content:

Overview of Python & its applications, Installing Python & IDEs (Jupiter, VS Code), Basic syntax, keywords & indentation rules, Numbers, Strings, Booleans, Lists, Tuples, Sets, Dictionaries, Type conversions & operators, Conditional statements (if-else, nested if), Loops (for, while, break, continue), Functions, arguments, return values, Lambda functions.

What You Will Learn?

• Importing built-in & custom modules, Reading & writing files
• Exception handling, Classes & objects, Inheritance & polymorphism
• Encapsulation & abstraction, NumPy basics (arrays, operations)
• Pandas (dataframes, indexing, grouping), Matplotlib & Seaborn (visualization)
• Automating daily tasks (file handling, report generation, data cleanup)
• Mini data analysis project using Pandas & Matplotlib.
• Python coding challenges (loops, functions, problem-solving)
• Mock interviews (basic to intermediate Python)
• Resume building focused on Python developer / analyst roles

Outcome

• Job-ready Python Developer / Data Analyst with strong foundations in programming, data handling, and automation using Python libraries.