High Level Coding
Challenging projects based on global issues that make you stand out in college admisisons.
Solve impactful real-world problems with your dedicated teacher and build a strong foundation in computer science using the most popular programming language.
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 Machine Learning and automation using Numpy, Scikit-Learn, and Keras
- 1
Input, Output, Types
Maths - 2
Variables, Math Operators
Maths - 3
Comparison & Logical Ops
Logic - 4
If-Else Conditions
Logic - 5
For loop & While loop
Basics - 6
Practice & Doubts
Basics - 7
Functions
Basics - 8
Functions & Lambda
Basics - 9
Practice & Doubts
Basics - 10
Strings
Basics - 11
Lists
Data Structures - 12
Tuple & List Comprehension
Data Structures - 13
Dictionary & Set
Data Structures - 14
2D Lists
Data Structures - 15
Practice & Doubts
Data Structures - 16
Random, Time
Utility - 17
Files
Utility - 18
Web API Requests
Web - 19
Web API
Web - 20
Web Automation
Web - 21
Jupyter & Numpy
Data Science - 22
Numpy
Data Science - 23
Numpy
Data Science - 24
Matplotlib
Data Science - 25
Matplotlib
Data Science - 26
Pandas
Data Science - 27
Pandas
Data Science - 28
Project
Data Science - 29
Project
Data Science - 30
Intro & Theory
Machine Learning - 31
Sci-kit Learn
Machine Learning - 32
KNN Classification
Machine Learning - 33
Linear Regression
Machine Learning - 34
Logistic Regression
Machine Learning - 35
KMeans Clustering
Machine Learning - 36
Decision Tree & Random Forest
Machine Learning - 37
Neural Networks
Machine Learning - 38
Keras
Machine Learning - 39
Convolutional Neural Networks
Machine Learning - 40
CNN Classifier
Machine Learning - 41
Autoencoder & Noise Removal
Machine Learning - 42
Recurrent Neural Networks
Machine Learning - 43
Sentiment Analysis
Machine Learning - 44
Language Translation
Machine Learning - 45
Reinforcement Learning
Machine Learning - 46
Final Project
Machine Learning - 47
Final Project
Machine Learning - 48
Final Project
Machine Learning - 49
Final Project
Machine Learning - 50
Final Project
Machine Learning
JavaScript
Focus on building full-stack mobile apps and websites using React, Node, and Firebase
- 1
Input, Output, Types
Maths - 2
Variables, Math Operators
Maths - 3
Comparison & Logical Ops
Logic - 4
If-Else Conditions
Logic - 5
For loop & While loop
Basics - 6
Practice & Doubts
Basics - 7
Functions
Basics - 8
Functions, This, Arrow
Basics - 9
Practice & Doubts
Basics - 10
Strings
Basics - 11
Arrays
Data Structures - 12
Map, Filter, Find
Data Structures - 13
2D Lists
Data Structures - 14
Practice & Doubts
Data Structures - 15
HTML, CSS
Front End - 16
HTML, CSS, JS
Front End - 17
JQuery
Front End - 18
Project
Front End - 19
Promises, Async, Await
Utility - 20
Web API
Web - 21
Firebase database
Web - 22
Server Deployment
Web - 23
Project
Front End - 24
Git & GutHub
Utility - 25
ReactJS, JSX
Front End - 26
ReactJS, Props
Front End - 27
ReactJS, State
Front End - 28
ReactJS, Lifecycle
Front End - 29
ReactJS, Routes
Front End - 30
ReactJS Advance
Front End - 31
Firebase Authentication
Backend End - 32
Project
Web - 33
Project
Web - 34
NodeJS & Express
Backend End - 35
NodeJS & Express
Backend End - 36
NodeJS & Express
Backend End - 37
Project
Web - 38
Project
Web - 39
npm, babel, Webpack
Utility - 40
Webpack
Utility - 41
React Native & Expo
Mobile - 42
React Native
Mobile - 43
Transitions
Mobile - 44
Push Notifications
Backend - 45
Cloud Functions
Backend - 46
Publish on App Store
Mobile - 47
Final Project
Web & Mobile - 48
Final Project
Web & Mobile - 49
Final Project
Web & Mobile - 50
Final Project
Web & Mobile
arrow_backwardBack to Course
