Tree Data Structure Explained | Terminology, Traversals, BFS/DFS & Types of Binary Tree

In this video, we dive deep into Trees — one of the most important non-linear data structures in computer science! If you've been struggling to understand why we even need non-linear data structures and how trees work, this video is for you. You'll learn: ✅ Why we need Non-Linear Data Structures (limitations of Arrays & Linked Lists) ✅ Basic Tree Terminology (Root, Node, Parent, Child, Leaf, Height, Depth, etc.) ✅ Tree Traversal Techniques — Inorder, Preorder, Postorder ✅ BFS (Breadth-First Search) and DFS (Depth-First Search) explained with examples ✅ Types of Binary Trees (Full, Complete, Perfect, Balanced, Degenerate, etc.) Whether you're a beginner learning Data Structures & Algorithms, preparing for coding interviews, or strengthening your DSA fundamentals, this video will help you understand Trees clearly and confidently. 📌 Don't forget to like, comment, and subscribe for more DSA tutorials! 🔔 Turn on notifications so you never miss an upload. #TreeDataStructure #BinaryTree #BFS #DFS #DataStructures #DSA #CodingInterview #LearnToCode #TreeTraversal