1. Getting Started

2. Computer Science

3. Algorithms and Data Structures - Basics
Asymptotic Notation
Divide and Conquer
Searching
Sorting
Graphs
Strings
Number Theory
Greedy
Dynamic Programming
Arrays and Dynamic Arrays
Suffix Arrays
Stacks and Queues
Linked Lists
Trees
Heaps
Hash functions and tables
Binary Search Tree

4. Algorithms and Data Structures - Advanced
Number Theory
Linear Algebra
Basic Algebra
Statistics
Arithmetic
Probability
Co-ordinate geometry
Discrete Mathematics
Combinatorics
Graph Theory
Calculus
Error Analysis and Estimation
Game Theory
Fast Fourier Transformation
Modular Arithmetic
Convex Hull

5. Competitive Programming
Websites
Competitions
TopCoder
CodeChef
Codeforces
SPOJ
HackerEarth
HackerRank
GeeksForGeeks
Kaggle
Google Code Jam
Google APAC Exam
ICM ACPC
HackerRank Ad Infinitium
CodeChef Snackdown
Microsoft Imagine Cup
Facebook Hacker Cup
IEEE Xtreme

6. Computer Applications

7. Application Development
Mobile Applications
Front End Web Development
Back End Web Development
Full Stack Web Development
Game Development
Windows and Mac Store/Desktop Development

8. Data Driven Tech Database Management Cloud and the Internet
Data Analysis
Data Science
Machine Learning
Artificial Intelligence

9. Applications

10. Mobile Applications

11. Android Languages Tools Java Kotlin Optional: C# (Xamarin)
React Native
C++ (NDK)
Android Studio IDE
Git and GitHub
Optional:
Firebase
Postman
Visual Studio IDE

12. iOS Languages Tools Swift Objective C Optional: C# (Xamarin)
React Native
XCode
Git and GitHub
Optional:
Visual Studio IDE
Firebase
Postman

13. Front End Web Development

14. Front End – Core - Beginner
Languages
Frameworks
HTML, CSS
JavaScript/jQuery
Any Text Editor
Browser (Chrome or Firefox)
Git and GitHub
Bootstrap/Semantic/MDL
React JS/Redux
Material UI (React Based)
Angular JS
Backbone, Ember, Vue and other JS frameworks
Tools

15. Front End – Mobile - Advanced
HTML5 Canvas
High Conversion Web Forms
Responsive Web Design and Responsive Images
Browser Developer Console
Web Performance Optimisation
Progressive Web Apps
OOP JavaScript
JavaScript Testing
JavaScript Promises
JavaScript Design Patterns
Web Accessibility
Browser Rendering Optimisation

16. Back End Web Development

17. Back End Languages Frameworks Java PHP Ruby Node.js Python Scala Go
Spring, Hibernate etc.,
Laravel, Cake, Symfony etc.,
Rails, Sinatra
Express, Socket, Meteor etc.,
Django, Flask
Play, Lift
Revel, Iris

18. Full Stack Web Development

19. Front End + Back End + Databases + Deployment
(More on Databases and Deployment later)

20. Game Development

21. Game Programming and Development
Languages
Platforms and APIs
C/C++ (OpenGL, OpenCL, CUDA)
Java C#
Objective-C/Swift
Python
Lua
JavaScript
Windows and Xbox (DirectX)
Mac and iOS (Metal)
Android and Linux (Vulcan)
Unity 3D
Unreal
CryEngine 3 etc.,
Engines

22. Desktop Development

23. Store and Desktop Languages Tools Visual Studio (Windows)
C# (Visual)
C++ (Visual)
Objective-C
Swift
Legacy:
Visual Basic .NET
Java
Visual Studio (Windows)
Visual Studio Code
Xcode (Mac)
Git and GitHub
SQL

24. Data Science

25. Database Management

26. Database Management Systems
SQL - Microsoft
MySQL - Oracle
PostgreSQL – Open Source
MariaDB – Open Source
Oracle DB
SQLite
MongoDB

27. Cloud Computing

28. Cloud Services Platforms and Providers
Infrastructure as a service (IaaS)
Platform as a service (PaaS)
Software as a service (SaaS)
Security as a service (SECaaS)
Backend as a service (BaaS)
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Heroku
Digital Ocean, CloudFront etc.,
IBM, HP, Lenovo, Dell etc.,

29. Data Science and Analysis

30. Data Analysis Programming Tools Big Data Tools R
Python, NumPy, Pandas and Scipy
Orange
ROOT
ELKI
Excel and Spreadsheets
Tableau
MongoDB
Hadoop
Cloudera
Talend

31. Data Science Programming Tools Mathematics Tools R
Python, NumPy, Pandas and SciPy
SPSS
GNU Octave
Orange
Descriptive Statistics
Inferential Statistics
Probability Theory
Linear Algebra
Spark, Storm etc
Hadoop, MapReduce etc
Tools

32. Machine Learning

33. Machine Learning Libraries and Tools Types R, Python
TensorFlow, Torch, Octave
Open AI, Keras
MATLAB
Cloud ML
Natural Language Processing
Image Processing
Bioinformatics
Advertising online
Software Engineering
Self Driving Automobiles
Economics and Marketing

34. Machine Learning - Mathematics
Descriptive Statistics
Inferential Statistics
Probability Theory
Linear Algebra
Matrices and Vectors
Calculus
Multivariable Calculus
Supervised
Unsupervised
Reinforcement
Classification Models
Artificial Intelligence
Deep Learning
Model Building and Validation

35. More Opportunities

36. Networking and Internet
Cisco Certified Network Associate (CCNA)
Cisco Certified Network Professional (CCNP)
Cisco Certified Internetwork Expert (CCIE)
Network Security
Network Surveillance
Encryption/Cryptography
Hacking/Bug Bounty Hunting

37. Software Engineering Design Testing Debugging Deployment (DevOps)
Dockers
Continuous Integration
Others

38. How should I learn? Where should I learn?
What should I learn?
How should I learn?
Where should I learn?