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Python For Kids

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Course Overview

Learn to code in Python with a fun, hands-on course designed just for kids aged 11–15! Each session mixes short lessons with coding practice and creative mini projects. Students start with simple programs like calculators, quizzes, and greeting machines, then move on to games like Rock, Paper, Scissors and drawing cool shapes using Turtle Graphics. Along the way, they’ll explore decisions, loops, lists, and functions in an easy way. The course finishes with a final project showcase, where kids build their own quiz, story game, or art project.

Course Content

  • Topic
    • Intro & First Program
    • Variables & Data Types
    • Strings & Text Fun
    • User Input
    • Decisions (If-Else)
    • More Conditions
    • Loops – While
    • Loops – For
    • Lists – Basics
    • Lists + Random
    • Functions – Basics
    • Functions – Parameters
    • Libraries Intro
    • Turtle Graphics – Shapes
    • Turtle Graphics – Scene
    • Final Project & Showcase
  • Key Concepts
    • What is Python, IDEs, print(), comments
    • Numbers, strings, booleans, math ops
    • Concatenation, string methods (len, upper)
    • input(), converting to numbers
    • if, elif, else
    • Comparisons (>, <, ==)
    • Repeat until condition met
    • for, range()
    • Create/access lists
    • Loop through lists, random.choice()
    • Define & call functions
    • Arguments, return values
    • import, math library
    • Draw square, circle, triangle
    • Combine shapes, colors
    • Bring it all together
  • Mini Project / Activity
    • Hello World + Joke Teller
    • Simple Calculator
    • Greeting Machine
    • Age Calculator
    • Guess the Number (fixed)
    • Yes/No Quiz
    • Countdown Timer
    • Multiplication Tables
    • Favorite Movies List
    • Rock, Paper, Scissors
    • Greeting Function
    • Magic 8-Ball
    • Fun with Math
    • Write Initials
    • Draw a House/Art
    • Text Adventure / Quiz / Turtle Drawing
  • Each session = ~10–15 min concept → 30–35 min coding practice → 10–15 min mini project/fun challenge.
  • Every 4th session ends with a mini project to keep motivation high.

1: I have no programming experience?

This course is specifically designed for complete beginners. We start from the very basics, like "what is a variable?" and "how do you write a simple command?" We assume no prior knowledge and build your skills step-by-step with clear explanations, practical examples, and hands-on exercises. Your journey into coding starts here.
By the end of this course, you will have the skills to build several real-world projects to add to your portfolio. You'll be able to create functional applications like a number-guessing game, a simple calculator, a to-do list manager that runs in the command line, and a program that automatically fetches data from the web. These projects solidify the core concepts and give you the confidence to tackle more advanced topics.
Not at all! Python is free and open-source. We will guide you through the simple process of installing Python and a code editor on your computer (Windows, Mac, or Linux are all supported). The entire toolset we use in the course is completely free, so you can focus on learning without any financial investment in software.

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Student Reviews

Considering primary motivation for the generation of narratives is a useful concept

Jhon Smith

Lev Simon.

I was intimidated by AI, but this course made it so accessible! The instructor broke down complex ideas into simple, relatable concepts. I finally understand how AI works in the world around me. A perfect starting point.

Jhon Smith

Robin Thorpe.

The project-based approach was fantastic. Building my own recommendation engine from scratch was challenging but incredibly rewarding. The lessons stuck because I applied them immediately. Highly recommend for practical learners!

Jhon Smith

Mark D’suza.

This wasn't just theory. The course focused on the exact tools and frameworks used in the industry. I was able to add a significant project to my portfolio and discuss it confidently in interviews. Landed a new job within months!

Jhon Smith

Aliana Michael.

As a working professional, the flexible, self-paced format was a lifesaver. The bite-sized video lectures and clear assignments made it easy to fit learning into my busy week without feeling overwhelmed. Excellent for part-time study.

Jhon Smith

Thomas James.

This course went beyond the basics and really delved into the 'why' behind the algorithms. The instructor's passion for machine learning was contagious, and the advanced content has given me a strong foundation for my master's degree.

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