# Data Structures and Algorithms Notes

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• #### Introduction to Data Structures & Algorithms 1

Section Covers: Data Structures, Algorithms, Asymptotic Notation

• Lecture1.1
• #### Sorting & Searching 1

Section Covers: Sorting Algorithms, Searching Algorithms, Cheat Sheet

• Lecture2.1
• #### Stacks 1

Section Covers: Operations, Applications Of Stack

• Lecture3.1
• #### Queue 1

Section Covers: Queue operations, Queue variations

• Lecture4.1

• Lecture5.1
• #### Trees 1

Section Covers: Tree Data Structure, Binary Tree, Binary Search Tree(BST), AVL Tree, B-tree

• Lecture6.1
• #### Graph 1

Section Covers: Graph Data Structure, Spanning Tree and Minimum Spanning Tree, Adjacency Matrix, Adjacency List, Depth First Search, Breadth first search Bellman Ford's Algorithm

• Lecture7.1

## Data Structures and Algorithms Notes

#### Data Structures are the programmatic way of storing data so that data can be used efficiently. Almost every enterprise application uses various types of data structures in one or the another way. This tutorial will give you a great understanding of the Data Structures needed to understand the complexity of enterprise-level applications and the need for algorithms, and data structures.

Modules Covered:

• Data Structures & Algorithms
• Sorting & Searching
• Stacks
• Queue
• Trees
• Graph

### Course Features

• Lectures 7
• Quizzes 0
• Duration 50 hours
• Skill level All levels
• Language English
• Students 25
• Certificate No
• Assessments Yes

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