In this phase we will learn how to make interactive web apps and frontend development using ReactJS. Some of the things that we will study are :

• ReactJS Overview & Setup
• ReactJS Components
• ReactJS Lifecycle methods
• ReactJS Events
• ReactJS Router
• Communication within Components
• Unit testing ReactJS components with Jasmine

While studying the above concepts, we will be progressing towards completing the project.

In this phase, we will be developing the backend API’s for our final project using NodeJS + Express as our server and MongoDB as the database.

MongoDB

1. Understanding NoSQL databases and understanding document based storage.
2. MongoDB Overview
3. Understanding CRUD operations in MongoDB
4. Functional Usage of CRUD
5. Read/Write Operations With CRUD
6. Schema Design & Data Modelling In MongoDB
7. Data Structures In MongoDB
8. Tools To Manage MongoDB

NodeJS & ExpressJS

1. Introduction To NodeJS
2. Using NodeJS
3. HTTP Protocol
4. Building an HTTP Server
5. Understanding REST
6. Understanding REST API Development Using NodeJS
7. Introduction to ExpressJS
8. Developing API’s using ExpressJS
9. Handling Form Data

In this phase, we will be preparing to solve the data structures and algorithm based questions asked in coding interviews. To do that, we will be studying the following topics.

Data Structures

1. Linked List
2. Arrays
3. Stacks
4. Queues
5. Hash Table
6. Binary Tree
7. Heaps
8. Binary Search Tree
9. Priority Queue
10. Graphs
11. Disjoint Set Data Structure

Algorithms Covered

1. Introduction to Big-O Notation and Complexity Analysis
2. Sorting Algorithms
3. Two Pointer Method
4. Sliding Window Method
5. Tree Traversal Algorithms
6. Binary Search & Modified Binary Search
7. Divide & Conquer Algorithms
8. Graph Traversals
9. Shortest Path Algorithms
10. Minimum Spanning Tree
11. Topological Sorting
12. Greedy Algorithms
13. Dynamic Programming In One Dimension
14. Dynamic Programming Over Strings
15. Dynamic Programming Over Subsets (using bitmasks)

In this phase, we will be learning how to design large scale systems which are able to handle high load and throughput

Topics Covered

1. System Design Basics
2. Distributed system basics
3. Load Balancing
4. Caching
5. Availability
6. Data Partitioning
7. Replication
8. SQL v/s NoSQL
9. Publisher Subscriber Model
10. Distributed Data Stores
11. Long Polling v/s Web Sockets

Case Studies

1. Designing Ticketing Service Like BookMyShow
2. Designing Instagram
3. Designing Twitter