Python Programming: From Basics to Advanced & Data Analysis by Sai Ramya Tanneru

Module 1: Python Fundamentals (15 Hours)

• Introduction to Programming & Python

• Installing Python & IDE setup

• Variables and Data Types

• Input and Output

• Conditional Statements (if, elif, else)

• Loops (for, while)

• Functions and Code Reusability

Module 2: Core Python & Problem Solving (15 Hours)

• Strings and String Operations

• Lists, Tuples, Sets, and Dictionaries

• Nested Loops and Logic Building

• Writing Programs from Scratch

• Debugging and Understanding Errors

• Practice Problems and Mini Exercises

Module 3: Object Oriented Programming with Python (10 Hours)

• Introduction to OOP Concepts

• Classes and Objects

• Constructors (__init__)

• Inheritance and Polymorphism

• Encapsulation and Real-World Examples

• Mini Project using OOP

Module 4: Advanced Python Concepts (10 Hours)

• File Handling (Read/Write Files)

• Exception Handling (try, except)

• Modules and Packages

• Working with External Libraries

• Code Optimization Basics

Module 5: Python for Data Analysis & AI (10 Hours)

• Introduction to NumPy

• Introduction to Pandas

• Basic Data Analysis using Python

• How Python is used in AI & Machine Learning

• Career Paths using Python (ML, Data Science, Automation)

🎯 Bonus

• Interview-Oriented Python Questions

• Best Practices & Coding Standards

• Roadmap for Further Learning

• First-Step Guidance for ML / Data Science