Python For kids

Python For Kids – Unlock creativity and problem-solving through fun, hands-on coding adventures! 🐍🚀

4.7 (253 user ratings)
4.7/5

Descriptions

In our Python course, students delve into the dynamic world of programming. From mastering Python fundamentals to creating interactive projects, they gain practical skills and unleash their creativity. With hands-on projects and expert guidance, we nurture confident and proficient Python programmers ready to tackle any coding challenge. Join us and embark on a rewarding coding journey! 🚀🐍

Whats Included

A friendly, hands-on course that builds creativity, logical thinking and real coding skills through projects kids love.

  • 🌟
    Beginner-Friendly

    Introduce your child to the world of coding with Python — simple, powerful and perfect for beginners.

  • 🔍
    Problem-Solving Skills

    Cultivate critical thinking as kids take on coding challenges and build solutions.

  • 💻
    Real-World Applications

    See how Python is used in games, data projects and real apps — skills that matter today.

  • 🎨
    Creative Projects

    Hands-on projects — games, interactive stories and more to spark imagination.

  • 🤖
    Future-Ready Skills

    Build foundational, high-demand coding skills that prepare kids for tomorrow’s tech world.

Saloni Jain

Coding Genius

This course includes:

Why

VIDHYAMAY

Regular Feedback Calls

Personalized Report card

Free Access to Coding Competitions

Communication & Presentation

Confidence Build Up

Daily Quiz & Assignment

Personalized Certificate

Hands-On Learning Experience

Level 1

Level 1 - Python Foundation

Week 1
  • Introduction to Python
  • Installing and Understanding IDE
  • Create First Project
Week 2
  • Understanding different datatypes in Python
  • Intro to Variables
Week 3
  • Understanding Operators
  • Mini Project 1
Week 4
  • Operators Continued
  • Revision of Python Concepts (Assessment -1)
Week 5
  • Understanding Conditional Statements
  • Intro to if-else operator
Week 6
  • Conditional Statement Continued
  • Mini Project 2
  • Introduction to Loops
Week 7
  • Understanding different types of loops
  • Mini Project 3
Week 8
  • Function declaration in Python
  • Using function statements
Week 9
  • Concept of Strings in Python
  • Introduction to Tuples and Dictionary
  • Mini Project 4
Week 10
  • Understanding datatypes (Lists)
  • Mini Project 5
Week 11
  • GUI designing in Python
  • Create a Mini Game
Week 12
  • Major Project
  • Summarize Course

Level 2 - GUI & OOP with Python

Week 1
  • Intro to Array and Matrix
  • Array Handling
  • Create a Shopping Cart Project
Week 2
  • Understanding GUI using Python
  • Intro to Tkinter
  • Intro to Pygame
Week 3
  • Tkinter Attributes
  • Mini Project 1
Week 4
  • Data Handling in Tkinter
  • Tkinter Layout 1
Week 5
  • Digital Newspaper Project (Part 1)
  • Digital Newspaper Project (Part 2)
Week 6
  • Digital Newspaper (Part 3)
  • Digital Newspaper Completion
Week 7
  • Event Handling in Tkinter
  • Layout Designing (Part 1)
Week 8
  • Layout Designing (Part 2)
  • Mini Project 2
Week 9
  • Concept of Classes and Objects
  • Using Classes and Objects
Week 10
  • Mini Project 2
  • Calculator Project 1
Week 11
  • Calculator Project 2
  • Calculator Project 3
Week 12
  • Project Completion
  • Summarize Course

Level 3 - Advanced Python Expert Course

Expertise in Data Handling, AI & Machine Learning
  • Master advanced data pipelines and feature engineering
  • Train, evaluate and deploy ML models effectively
  • Use cutting-edge Python tools for real-world data science
Expertise in Website Development with Django & MongoDB
  • Build scalable Django web applications
  • Integrate MongoDB for flexible data storage
  • Create REST APIs and deploy to cloud platforms
Expertise in Data Science
  • Master end-to-end data analysis and visualization techniques
  • Build predictive models using Python and machine learning libraries
  • Extract valuable insights to drive data-driven decision-making
Expertise in Automation
  • Automate repetitive workflows using Python scripts
  • Use APIs and schedulers for task orchestration
  • Boost productivity with intelligent automation tools
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