Coding for Kids | Middle-Level Coding Curriculum | Grade 6-8

Middle Level Coding

Rigorous practice using the hottest language - Python.

Build a strong foundation in Computer Science with a dedicated teacher, and learn how to build machine learning models and automate daily tasks.

The following curriculum assumes that student has no prior knowledge of programming. The student may skip familiar topics to spend more time on practice and projects.


Python

Focus on problem-solving and practice. Intorduction to Machine Learning and Automation.

  • 1

    Data types + Print

    Maths
  • 2

    Variables + Input

    Maths
  • 3

    Math operators

    Maths
  • 4

    Math problems

    Maths
  • 5

    Comparison operators

    Logic
  • 6

    Logical operators

    Logic
  • 7

    If-Else conditions

    Basics
  • 8

    Practice & Doubts

    Basics
  • 9

    For loop

    Basics
  • 10

    While loop

    Basics
  • 11

    Practice & Doubts

    Basics
  • 12

    Functions

    Basics
  • 13

    Functions

    Basics
  • 14

    Practice & Doubts

    Basics
  • 15

    Strings

    Basics
  • 16

    Strings

    Basics
  • 17

    Lists

    Data Structures
  • 18

    Lists

    Data Structures
  • 19

    List Comprehension

    Data Structures
  • 20

    Dictionary

    Data Structures
  • 21

    Sets

    Data Structures
  • 22

    2D Lists

    Data Structures
  • 23

    Practice & Doubts

    Data Structures
  • 24

    Random & Time

    Utility
  • 25

    Files

    Utility
  • 26

    Web API Requests

    Web
  • 27

    Web API

    Web
  • 28

    Web Automation

    Web
  • 29

    Web Automation

    Web
  • 30

    Web Automation

    Web
  • 31

    Project

    Web
  • 32

    Numpy

    Data Science
  • 33

    Numpy

    Data Science
  • 34

    Numpy

    Data Science
  • 35

    Numpy

    Data Science
  • 36

    Matplotlib

    Data Science
  • 37

    Matplotlib

    Data Science
  • 38

    Statistics

    Data Science
  • 39

    Project

    Data Science
  • 40

    Project

    Data Science
  • 41

    Introduction

    Machine Learning
  • 42

    Sci-kit Learn

    Machine Learning
  • 43

    Classification

    Machine Learning
  • 44

    Linear Regression

    Machine Learning
  • 45

    Project

    Machine Learning
  • 46

    Project

    Machine Learning
  • 47

    Project

    Machine Learning
  • 48

    Project

    Machine Learning


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