Useful resources for developers to refer too! ⚡
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Initially created by Montek
| Course name | Description |
|---|---|
| Algorithms Part 1 — Coursera | It’s a two-part course, in which the first part covers basic data structures, sorting, and searching algorithms, and the second part focuses on the graph and string-processing algorithms. |
| Data Structure Free Udemy Course | The course covers well-known data structures such as dynamic arrays, linked lists, stacks, queues, and binary trees. |
| Easy to Advanced Data Structures | You will learn about the array, linked list, dynamic array, stack, queue, doubly linked list, priority queues, hash tables, binary search trees, Fenwick tree/binary indexed tree, AVL tree, and Indexed priority queue. |
| Graph Theory Algorithms | This provides a complete overview of graph theory algorithms in computer science and mathematics. |
| Dynamic Programming — I | If you are preparing for job interviews then apart from knowing data structures and algorithms, you should also learn about programming techniques like recursion, iteration, and dynamic programming. |
| Data Structures Concepts & Singly Linked List Implementation | You will learn to implement various linked list operations using the C programming language like finding a node, appending a node, deleting a node, adding a node to a position, traversing a linked list, and preparing a node. |
| Introduction to Algorithms and Data structures in C++ | In this course, you will not only learn about fundamental data structures like an array and linked list, stack, and queue but you will also learn about practical techniques to solve algorithmic problems. |
| Data Structures in Java for Noobs (Lite Edition) | You will learn about all the linked list operations and how to implement it using Java Programming language like adding a node, deleting a node from both beginning and end. Overall, a short course to focus on a linked list data structure. |
| Getting Interview Ready — Data Structures | This is a great course to learn data structure and algorithms if you are preparing for an interview and don’t have much time. The course is neither very long nor very short and just contains 3 hours’ worth of content. |
| Algorithms and Data Structures — Part 1 | You will learn the trade-offs involved with choosing each data structure, along with traversal, retrieval, and update algorithms. |
| Course name | Language |
|---|---|
| Introduction to Big O Notation and Time Complexity | English |
| Time Complexity and Big O Notation (with notes) | Hindi |
🚧 Work in progress....
🚧 Work in progress...