Trees & Binary Trees: Learn how to implement and traverse binary trees, binary search trees, and balanced trees like AVL trees.
Heaps & Priority Queues: Understand how to implement heaps (min-heaps and max-heaps) and use them for priority-based operations like finding the smallest or largest element.
Graphs: Learn graph representations (adjacency lists, adjacency matrices) and implement graph traversal algorithms such as BFS (Breadth-First Search) and DFS (Depth-First Search).
Tries: Implement trie data structures to solve problems related to string searching, autocomplete, and spell checking.
Segment Trees & Fenwick Trees: Learn how to solve range queries efficiently using segment trees and Fenwick trees.