Course Description

The Certificate in Python course is designed to introduce learners to one of the most popular and versatile programming languages in the world. Python is widely used in web development, data analysis, artificial intelligence, automation, and more. This course covers the fundamentals of Python programming along with practical applications, enabling students to build a strong foundation in coding, problem-solving, and project development. By the end of the course, learners will be able to create real-world applications and move towards advanced technologies like Machine Learning and Data Science.

What you'll learn in this course?

This Python course provides a beginner-friendly yet comprehensive approach to programming. Learners will explore variables, control statements, functions, data structures, file handling, and libraries while working on hands-on projects. The course is ideal for students, beginners, and professionals who want to start a career in software development, AI, or data science.
Module 1: Introduction to Python
Overview of Python and its applications
Installing Python and IDEs (PyCharm, Jupyter, VS Code)
Writing and executing the first Python program
Python syntax, keywords, and indentation
Module 2: Python Basics
Variables, constants, and data types
Operators and expressions
Input/output functions
Typecasting in Python
Module 3: Control Statements
Conditional statements (if, elif, else)
Looping (for, while, nested loops)
Break, continue, and pass statements
Module 4: Functions & Modules
Defining and calling functions
Function arguments and return values
Lambda functions
Importing and creating modules
Module 5: Data Structures in Python
Lists, tuples, and sets
Dictionaries and their operations
String handling and string functions
Module 6: File Handling & Exception Handling
Reading and writing files
Working with text, CSV, and JSON files
Try-except blocks and exception types
Custom exceptions
Module 7: Object-Oriented Programming in Python
Classes and objects
Constructors and methods
Inheritance and polymorphism
Encapsulation and abstraction
Module 8: Python Libraries (Introduction)
NumPy basics
Pandas for data handling
Matplotlib for visualization
Using external libraries with pip
Module 9: Projects & Assignments
Calculator program
Contact book or student database system
Data analysis mini project using Pandas
Final project (real-world application)