Data Structures & Algorithms Roadmap with YouTube Resources

Data Structures & Algorithms Roadmap with YouTube Resources

Data Structures & Algorithms Roadmap with YouTube Resources 🙌

1 Introduction to DSA :
Start with understanding the basics of data structures.

https://lnkd.in/d-8_5_fE

2 Arrays and Strings:
Learn about array manipulation, searching, sorting, and string manipulation techniques.

https://lnkd.in/dyjmA5cq

3 Linked Lists:
Understand singly linked lists, doubly linked lists, and circular linked lists. Learn about insertion, deletion, and traversal operations.

https://lnkd.in/dZJXhktY

4 Stacks and Queues:
Explore the concepts of stacks and queues, along with their applications in solving real-world problems.

https://lnkd.in/d4sK58TK

5 Hashing:
Learn about hash functions, hash tables, and collision resolution techniques.

https://lnkd.in/dkQRvJ-D

6 Trees:
Study binary trees, binary search trees, AVL trees, and basic tree traversal algorithms like inorder, preorder, and postorder.

https://lnkd.in/d9pr5Wgy

7 Graphs:
Understand graph representations, traversal algorithms (DFS, BFS), and basic graph algorithms (Dijkstra's, Kruskal's).

https://lnkd.in/dpkGNJxg

8 Sorting Algorithms:
Familiarize yourself with various sorting algorithms like bubble sort, insertion sort, merge sort, and quicksort.

https://lnkd.in/dVmjcNJp

9 Searching Algorithms:
Learn about linear search, binary search, and other searching techniques.

https://lnkd.in/d4rzxnE3

10 Dynamic Programming:
Explore dynamic programming concepts and techniques for solving optimization problems.

https://lnkd.in/dwHeF4DE

11 Recursion:
Understand recursion, recursive algorithms, and their applications.

https://lnkd.in/dmXRnGry

12 Divide and Conquer:
Learn about the divide and conquer paradigm and its applications in solving problems.

https://lnkd.in/dfnnSuKi

13 Greedy Algorithms:
Study greedy algorithms and their application in solving optimization problems.

https://lnkd.in/d2sDG2H5

14 Backtracking:
Explore backtracking techniques to solve problems like the N-Queens problem and the subset sum problem.

https://lnkd.in/dEGMtB92

15 Advanced Data Structures:
Learn about advanced data structures like heaps, tries, and segment trees.

https://lnkd.in/d8N4s6Qt

16 Algorithm Analysis:
Understand how to analyze the time and space complexity of algorithms.

https://lnkd.in/dxqNMZ7Y