🐍 Python Mastery

Learn Python from absolute zero to data science hero! Master programming with fun stories, visual explanations, and hands-on practice.

📚 13 Sessions
📝 50 Questions
🎯 Beginner Friendly
🏆 Certificate Ready

🌱 Foundation (Sessions 1-3)

Start here! Build your Python basics step by step.

Session 1

📚 Introduction to Python

What is Python? Variables, print(), and your first program!

Variables print() Naming Rules id()
Session 2

📊 Data Types

Numbers, strings, booleans - understand how Python categorizes data.

int/float/complex Strings Boolean Type Casting
Session 3

🔄 Operators & Loops

Make decisions with if/else and repeat actions with loops!

Operators if/elif/else for loop while loop

📦 Data Structures (Sessions 4-5)

Learn to organize and manage collections of data.

Session 4

📋 Lists

Store multiple items in ordered, changeable collections.

Creating Lists Indexing/Slicing Methods 2D Lists
Session 5

📦 Tuples, Sets & Dicts

More ways to organize data with special properties!

Tuples Sets Dictionaries Methods

⚙️ Functions (Sessions 6-7)

Write reusable code blocks and master function arguments.

Session 6

⚙️ Functions Part I

Create your own functions with parameters and return values.

def Parameters return Built-in Functions
Session 7

🔧 Functions Part II

Advanced concepts: *args, **kwargs, and real-world examples.

*args **kwargs Lambda Calculator Example

🚀 Advanced Topics (Sessions 8-12)

Level up with OOP, NumPy, Pandas, and real data!

Session 8

🏗️ Object-Oriented Programming

Create classes and objects - the building blocks of real apps!

Classes Objects __init__ self
Session 9

🔢 NumPy & Comprehensions

Powerful numerical computing and elegant list creation.

NumPy Arrays List Comprehension Lambda map/filter
Session 10

🐼 Pandas Part I

Work with data tables like Excel - Series and DataFrames!

Series DataFrame read_csv merge/concat
Session 11

📈 Pandas Part II

Advanced data manipulation: filtering, grouping, analysis!

loc/iloc Filtering describe() GroupBy
Session 12

🌐 APIs & SQL

Get real data from the web and databases!

requests JSON SQLite Database
Session 13

📊 Data Visualization

Transform numbers into beautiful charts and graphs!

Matplotlib Seaborn Charts Heatmaps
Session 14 ⭐

📊 Enhanced Visualizations

Master 8 chart types with real loan dataset - Pie, Box, Violin & more!

Pie Chart Box Plot Violin Plot KDE
Session 15

🕷️ Web Scraping

Extract data from websites with requests and BeautifulSoup.

requests BeautifulSoup Static vs Dynamic

📝 Practice Assignments

Test your knowledge with 50 hands-on questions!

📚 Student Mode

Practice Questions

All 50 questions with hints. Try solving yourself first!

50 Questions All Levels
🔐 Instructor

Assignment Hub

Access solutions with passcode (for instructors only).

Solutions Passcode Required

🚀 How to Use This Course

1️⃣

Start from Session 1

Even if you know some Python, foundations matter!

2️⃣

Read Every Story

Analogies help you remember concepts forever!

3️⃣

Type the Code

Don't just read - practice by typing yourself!

4️⃣

Do Assignments

Test your skills with real practice problems!

🐍

"The best time to start learning Python was yesterday.
The second best time is NOW!"