1. Course Overview

This course takes learners from Python fundamentals to structured programming using data structures and OOP concepts. Each topic is explained step by step with practical examples, enabling learners to develop logical thinking, problem-solving skills, and coding proficiency.

The curriculum balances theory and practice, making it suitable for beginners, students, and professionals looking to start a career in Python programming.

2. What Students Will Learn

A. Python Fundamentals

• Introduction to Python and its ecosystem

• Input/Output operations

• Variables, operators, and keywords

• Data types: integers, floats, strings, and booleans

• Conditional statements (if-else) and loops (for, while)

B. Data Structures

• Strings: manipulation, formatting, and methods

• Lists: indexing, slicing, and operations

• Tuples and dictionaries: storage and retrieval

• Sets and arrays: operations and applications

• Practical exercises using real-world examples

C. Object-Oriented Programming (OOP)

• Classes and objects

• Attributes and methods

• Inheritance, encapsulation, and polymorphism

• Applying OOP concepts in coding projects

D. Exception Handling

• Handling runtime errors with try-except blocks

• Using finally and else in exception handling

• Writing robust Python programs

3. Teaching Methodology

• Interactive online live sessions with real-time coding

• Step-by-step explanation of concepts and examples

• Hands-on exercises to reinforce learning

• Problem-solving focus to develop practical programming skills

• Guidance and doubt-clearing sessions for every topic

4. Who Should Join This Course

• Beginners with no prior programming experience

• Students pursuing computer science or related courses

• Working professionals looking to learn Python for automation, analytics, or software development

• Anyone aiming to develop strong Python programming foundations

5. Learning Outcomes

By the end of this course, learners will:

• Understand Python fundamentals and syntax

• Work confidently with Python data structures

• Apply object-oriented programming concepts in projects

• Handle exceptions and write robust programs

• Gain practical coding skills for academic or professional use