Hours: 24
Schedule:  Flexible (  3 hrs/week,  8 weeks program)
Programming: Python Programming 
Group: 5 to 10 students 
 
Course Objective
To introduce and advance students' understanding of Python programming through logic building, hands-on coding, project development, and real-world applications. This curriculum aims to nurture future-ready tech skills from an early age.
 
Course Modules
 
Level 1: Python Basics for Beginners
Goal: Learn basic Python concepts using visual aids and gamified exercises.
 
Modules:
What is Python?
Installing and Using IDLE / Thonny
Print Statements & Text Output
Variables and Data Types
Simple Math and Input Functions
Basic Conditional Statements (if/else)
Introduction to Loops (while, for)
Fun Activities:
Build a Calculator
Create a "Guess the Number" game
Mini Project:
Simple Math Quiz or Interactive Story Game
 
Level 2: Foundational Python Programming
Goal: Strengthen problem-solving skills with Python basics.
 
Modules:
Review of Level 1 Basics
Advanced Data Types: Lists, Tuples, Dictionaries
Nested Conditions and Loops
Introduction to Functions
Error Handling (try/except)
Working with Strings and User Input
File Handling Basics
Logic Puzzles and Coding Challenges
Mini Project:
Rock-Paper-Scissors Game
Contact Book using File Handling
 
Level 3: Intermediate Python with Real-World Applications
Goal: Build real-world applications using intermediate Python concepts.
 
Modules:
Deep Dive into Functions and Recursion
Working with Files (txt, csv)
Object-Oriented Programming (Classes & Objects)
Python Libraries:
random, datetime, math, os
Basic GUI using Tkinter
Intro to Modules and Packages
Mini Projects:
To-Do App with GUI
Expense Tracker
Random Password Generator
 
Level 4: Advanced Python for High Schoolers
Goal: Prepare for advanced Python topics, projects, and career paths.
 
Modules:
Advanced OOP (Inheritance, Polymorphism)
Exception Handling & Logging
Web Scraping with BeautifulSoup or Requests
Working with APIs
Intro to Data Science with Python
Libraries: Pandas, Numpy, Matplotlib
Data Cleaning, Visualization, CSV/Excel Analysis
Intro to AI/ML (Optional Extension):
Simple ML models using Teachable Machine or scikit-learn
Capstone Projects:
Personal Budget App
Student Dashboard
Data Analysis: Movie Ratings / Weather Trends
 
Features:
Theory + Labs
Engaged students by various examples and interesting labs
Homework and project
Various Programming Levels to choose 
Courses are aligned for the Middle and High school course content
Special batches for Summer / Winter sessions 
Fun events