Unlock the potential of Python with this beginner-friendly course designed to equip you with

foundational programming skills. Python is a popular and versatile programming language

widely used in web development, data science, automation, and software engineering. In this

course, you’ll explore core Python concepts, from basic syntax to advanced functions, and gain

hands-on experience through coding exercises and projects. Whether you're entirely new to

programming or looking to expand your skills, this course will guide you through Python’s

capabilities step by step.

Who Should T ake This Course

- Beginners with no prior coding experience

- Individuals interested in software development, data analysis, or automation

- Anyone looking to learn Python for personal or professional growth

- Students or professionals looking to explore coding and problem-solving with Python

What You Will Learn

- Python syntax, variables, and data types

- Control flow (if statements, loops)

- Functions and modular programming

- Data structures (lists, dictionaries, tuples, sets)

- File handling and working with external libraries

- Basic object-oriented programming

- Debugging and best practices in Python

Why You Should T ake This Course

Python is among the most in-demand skills across industries, from tech to finance to healthcare.

Learning Python opens doors to numerous career paths like data science, web development,

and automation. With its simple syntax and many applications, Python is the perfect first

programming language for beginners. Completing this course will give you the confidence and

skills to build your own Python projects and pursue more advanced programming opportunities.

Course Curriculum

Module 1: Introduction to Python Programming

- What is Python, and why is it used?

- Installing Python and setting up the development environment

- Running your first Python script

- Understanding Python syntax

Module 2: Variables, Data Types, and Operators

- Variables and naming conventions- Basic data types: integers, floats, strings, booleans

- Type conversion and user input

- Arithmetic and comparison operators

Module 3: Control Flow and Loops

- Conditional statements (if, elif, else)

- While loops and for loops

- Break and continue statements

- Practical exercises in control flow

Module 4: Functions in Python

- Defining and calling functions

- Function arguments and return values

- Scope and lifetime of variables

- Anonymous (lambda) functions

Module 5: Data Structures

- Lists: creation, indexing, slicing, and methods

- Dictionaries: key-value pairs and accessing data

- Tuples and sets: immutability and uniqueness

- Practical exercises with real-world datasets

Module 6: Working with Files

- Reading from and writing to files

- File handling methods (open, read, write)

- Managing file exceptions

- Projects involving data from external files

Module 7: External Libraries and Packages

- Installing and using external libraries (e.g., NumPy, pandas)

- Importing modules and packages

- Exploring the Python Package Index (PyPI)

- Practical use cases of external libraries

Module 8: Introduction to Object-Oriented Programming (OOP)

- Understanding classes and objects

- Creating and using classes

- Methods and inheritance

- OOP project: building a small application

Module 9: Debugging and Best Practices

- Common Python errors and exceptions

- Using debugging tools and techniques

- Writing clean and efficient Python code- Code documentation and comments

Final Project: Building Your Own Python Application

- Apply everything you've learned by creating a Python project from scratch.