🐍
Popular

Python — Beginner
to Advanced

The most in-demand programming language today. Go from zero to building real projects, mastering DSA, and exploring AI/ML — all in one structured course.

📘 42 Lessons
⏱ ~30 hrs
🎯 Beginner → Advanced
🌐 English
⭐ 4.9 (3.2k reviews)
👥 18,400 enrolled
Free
Full access, no credit card required
Start Learning Now Preview Curriculum

This course includes

✓ 42 structured lessons
✓ 5 real-world projects
✓ DSA practice problems
✓ AI/ML intro module
✓ Community access
✓ Certificate on completion
Overview
Curriculum
Requirements
Instructor

What you'll learn

✓ Python syntax, data types, and control flow
✓ Functions, modules, and OOP fundamentals
✓ File I/O, error handling, and decorators
✓ Data structures: lists, dicts, sets, tuples
✓ DSA: sorting, searching, trees, graphs
✓ NumPy, Pandas, and data manipulation
✓ REST APIs and web scraping with requests
✓ Intro to ML with Scikit-learn

Course Curriculum

Module 1 — Python Fundamentals
8 lessons · ~4 hrs
⌄
▶ Introduction & Setup 12 min
▶ Variables & Data Types 18 min
▶ Operators & Expressions 15 min
▶ Conditionals (if/elif/else) 14 min
▶ Loops: for & while 20 min
▶ Functions & Scope 22 min
▶ Built-in Functions 16 min
📝 Module Quiz 10 min
Module 2 — Data Structures
7 lessons · ~3.5 hrs
⌄
▶ Lists & List Comprehensions 20 min
▶ Tuples & Sets 15 min
▶ Dictionaries Deep Dive 22 min
▶ Stacks & Queues 18 min
▶ Linked Lists 25 min
▶ Trees & BST 30 min
📝 DSA Practice Set —
Module 3 — OOP & Advanced Python
8 lessons · ~4 hrs
⌄
▶ Classes & Objects 22 min
▶ Inheritance & Polymorphism 20 min
▶ Decorators & Closures 24 min
▶ Generators & Iterators 18 min
▶ Error Handling 16 min
▶ File I/O & Context Managers 14 min
▶ Modules & Packages 12 min
🛠 Project: CLI Todo App —
Module 4 — Libraries & APIs
7 lessons · ~3.5 hrs
⌄
▶ NumPy Basics 22 min
▶ Pandas for Data Manipulation 30 min
▶ Working with REST APIs 20 min
▶ Web Scraping (BeautifulSoup) 25 min
▶ JSON & CSV Handling 15 min
▶ Virtual Environments & pip 10 min
🛠 Project: Weather CLI App —
Module 5 — Intro to AI/ML
6 lessons · ~3 hrs
⌄
▶ What is Machine Learning? 14 min
▶ Scikit-learn Basics 22 min
▶ Linear Regression 20 min
▶ Classification Models 25 min
▶ Model Evaluation 18 min
🛠 Capstone: House Price Predictor —

Requirements

Instructor

👨‍💻
Arjun Sharma
Senior Software Engineer · Python & ML Educator

Arjun has 8+ years of experience in Python, data engineering, and machine learning. He has taught over 20,000 students across multiple platforms and previously worked at a leading fintech startup. His teaching style is practical, fast-paced, and project-first.