Course Details
Python Programming – From Basics to Advanced
Learn Python programming step by step and build job-ready coding skills. This course covers Python fundamentals, data structures, object-oriented programming, file handling, libraries, and real-world applications. Ideal for beginners, students, and profes

Manoj Pandey
Computer Courses Master
Course Description
Python is one of the most popular and beginner-friendly programming languages in the world, widely used in web development, data science, machine learning, artificial intelligence, automation, and software development. Its simple syntax and versatility make it the first choice for beginners as well as professionals.
The Python Programming course is designed to take you from the basics of programming to advanced concepts with practical, hands-on exercises. You’ll begin by learning variables, operators, loops, and conditional statements before moving on to functions, modules, data structures (lists, tuples, dictionaries, sets), file handling, and object-oriented programming (OOPs).
As you progress, you’ll also explore Python libraries like NumPy, Pandas, and Matplotlib, which are essential for data analysis and visualization. The course also introduces automation scripts, database connectivity, and mini-projects to apply your knowledge in real-world scenarios.
By the end of this course, you will be able to:
- Write Python programs with clean and efficient code.
- Work with data structures and algorithms.
- Implement object-oriented concepts for software development.
- Perform data analysis and visualization with Python libraries.
- Build small applications and automation projects.
This course is ideal for students, beginners in coding, IT professionals, and anyone preparing for a career in programming, data analysis, or AI/ML.
Skills You'll Gain
Core Python Programming
Learn syntax, variables, loops, functions, and data structures.
Object-Oriented Programming (OOPs)
Build structured and reusable programs using classes and objects.
Data Handling & Visualization
Use Pandas, NumPy, and Matplotlib for analysis and reporting.