Lecture -2 | Introduction to Trees in Data Structures | DSA Using C

In this lecture, we are starting one of the most important topics in Data Structures & Algorithms — *Trees* 🌳 In this video, you will learn the basic concepts and terminology of Trees from scratch, with a strong focus on **logic building and practical understanding**. 📌 *Topics Covered:* • What is a Tree in Data Structure? • Why do we use Trees? • Tree vs Linear Data Structure • Root Node • Parent & Child Nodes • Leaf / Terminal Node • Sibling Nodes • Edge • Path • Degree of a Node • Degree of a Tree • Level of a Node • Height of a Tree • Depth of a Node • Subtree • Basic Tree Representation 🎯 This lecture is useful for: • B.Tech / BCA / B.Sc CS Students • MAKAUT Students • DSA Beginners • Coding & Programming Beginners • Placement & Interview Preparation 💡 *Goal:* Understand the logic and fundamentals of Trees before moving into Binary Trees, BST, Tree Traversals, AVL Trees and other advanced topics. 📚 *DSA Using C – LogixOr* Learn DSA with practical examples, logic building and problem-solving. 🌐 Website: logixor.in #DSA #Trees #DataStructures #TreeDataStructure #DSAUsingC #CProgramming #MAKAUT #LogicBuilding