Heap Tree | Min Heap & Max Heap | Insertion, Deletion & Properties | DSA by Mujahid Husnain

📌 Title: Heap Tree | Min Heap & Max Heap | Insertion, Deletion & Properties | DSA by Mujahid Husnain 📘 Description: 🔺 Heap Tree Data Structure – Min Heap & Max Heap Explained with Operations! In this video, we explore the Heap Tree, an essential data structure used in priority queues, heapsort, and memory management. You’ll learn the difference between Min Heap and Max Heap, their properties, and how to perform insertion and deletion operations efficiently. 📌 What You'll Learn: ✅ What is a Heap Tree? ✅ Min Heap vs Max Heap ✅ Heap Properties – Complete Binary Tree & Heap Order Property ✅ Insertion in Heap – Maintaining heap after adding a node ✅ Deletion from Heap – Removing root and reheapifying ✅ Heapify Process Explained Step-by-Step ✅ Time and Space Complexity ✅ Applications of Heap in Real World ✅ Introduction to Heapsort & Priority Queues (Bonus) 🎓 Perfect For: Computer Science & IT students DSA learners preparing for interviews Competitive programming Anyone learning tree-based data structures 📁 Resources: 📌 Code & Notes: [Insert Link] 📌 Practice Problems: [Insert Link] 📌 Full DSA Playlist: [Insert Playlist Link] 📌 Join the Q&A Group: [Insert Link] 🔔 Subscribe for more structured DSA tutorials by Mujahid Husnain! ⏱️ Timestamps: 🔖 Hashtags: #HeapTree #MinHeap #MaxHeap #DSA #HeapDataStructure #TreeBasedStructures #Heapify #PriorityQueue #HeapSort #MujahidHusnain #DataStructures #Algorithms #CodingInterview #CompleteBinaryTree 🏷️ Tags: mathematica Copy Edit Heap Tree, Min Heap, Max Heap, Heapify, Heap Insertion, Heap Deletion, Heap Data Structure, Priority Queue, Heapsort, Complete Binary Tree, Binary Heap, Heap in C++, Heap in Java, Heap in Python, DSA by Mujahid Husnain, Tree Based Data Structure, Coding Interview Preparation, Algorithms and Data Structures, Competitive Programming, DSA Tutorials