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Data Structure

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Track :

Programming

Lessons no : 19

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What will you learn in this course?
  • Master how to implement and analyze arrays, linked lists, stacks, and queues for efficient data management
  • Design and utilize trees, graphs, and hash tables to optimize search, insertion, and deletion operations
  • Apply data structures to solve real-world problems in software development, database management, and algorithm design
  • Evaluate the performance of various data structures using Big O notation and choose appropriate structures for specific tasks
  • Develop skills to implement advanced data structures like heaps, trie, and balanced trees for complex applications
  • Understand the role of data structures in improving algorithm efficiency and software performance
  • Identify suitable data structures for different scenarios in computer science and software engineering projects
  • Enhance problem-solving skills by applying data structures to optimize computational tasks and data processing

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Lessons | 19
Introduction to Data Structure with real life examples by Naina Mam DataStrucutureforBeginners
00:05:21

Introduction to Data Structure with real life examples by Naina Mam DataStrucutureforBeginners
Arrays in Data Structure by Naina Mam | Initialization Declaration Memory Representation
00:11:07

Arrays in Data Structure by Naina Mam | Initialization Declaration Memory Representation
Types of Array | One dimensional Multi dimensional Array by Naina Mam
00:09:17

Types of Array | One dimensional Multi dimensional Array by Naina Mam
Addressing in One Dimensional Array by Naina Mam | Data Structure
00:07:32

Addressing in One Dimensional Array by Naina Mam | Data Structure
Linear Search in Data Structure by Naina Mam | Time Complexity
00:12:28

Linear Search in Data Structure by Naina Mam | Time Complexity
L 3 7 Introduction to Trees Binary Tree Almost Complete Binary Tree Full BT Complete BT BST
00:10:45

L 3 7 Introduction to Trees Binary Tree Almost Complete Binary Tree Full BT Complete BT BST
Preorder Inorder and Postorder in 5 minute | Tree Traversal | Easiest and Shortest Trick
00:06:47

Preorder Inorder and Postorder in 5 minute | Tree Traversal | Easiest and Shortest Trick
Binary Search Tree in Data Structure | Insertion and Traversal in BST
00:11:02

Binary Search Tree in Data Structure | Insertion and Traversal in BST
Deletion from Binary Search Tree BST with Example | Data Structure
00:08:36

Deletion from Binary Search Tree BST with Example | Data Structure
Find Preorder Postorder Inorder of Binary Search Tree BST in Data Structure
00:09:39

Find Preorder Postorder Inorder of Binary Search Tree BST in Data Structure
Imp Question on Binary Search Tree | GATE Question | Data Structure
00:11:21

Imp Question on Binary Search Tree | GATE Question | Data Structure
Introduction to AVL Tree in Data Structure with Examples | All Imp Points of AVL
00:09:54

Introduction to AVL Tree in Data Structure with Examples | All Imp Points of AVL
How to Create AVL tree | LL RR LR RL Rotation in AVL | Data Structure
00:10:46

How to Create AVL tree | LL RR LR RL Rotation in AVL | Data Structure
AVL Tree Creation in Data Structure | All Imp Points
00:12:53

AVL Tree Creation in Data Structure | All Imp Points
Comparison of All Data Structures | Search Insert Delete Time Complexity
00:08:13

Comparison of All Data Structures | Search Insert Delete Time Complexity
Binary Search in Data Structure by Naina Mam
00:10:33

Binary Search in Data Structure by Naina Mam
Introduction to Linked List | Types and Need of linked list | data structures
00:10:17

Introduction to Linked List | Types and Need of linked list | data structures
Arrays vs Linked Lists | Data Structures
00:08:41

Arrays vs Linked Lists | Data Structures
Single Linked List in Data Structure | Self Referential Structure
00:08:27

Single Linked List in Data Structure | Self Referential Structure

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Devaraj H 

It was totally very nice 🙂
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good teaching
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Classes are very clear and understandable!
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Data Structures are a specialized means of organizing and storing data in computers in such a way that we can perform operations on the stored data more efficiently. Data structures have a wide and diverse scope of usage across the fields of Computer Science and Software Engineering .