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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