✨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 Follow Tushar Verma for more content, #geeksforgeeks #leetcode #interviewpreparation #codingchallenge #75dayschallenge #resources #codingcommunity #dsa #datastructuresandalgorithms