Data Structures Complete Tutorial | 11+ Hours DSA & Graph Theory Full Course Using JAVA |

In this complete tutorial on DSA, Prateek Narang (Software Engineer & Educator, SCALER) will help you dive into the fundamental concepts of Data Structures and then take you through Graph concepts like BFS, DFS and more in Java programming language. Checkout the FREE masterclasses by industry experts here: https://www.scaler.com/events/?utm_so...

Topics covered:
0:00 - Introduction & Agenda
0:53 - Data Structures & Algorithms Basics
37:14 - Java Collections Framework
2:09:55 - Arrays & Dynamic Arrays
3:31:47 - Linked lists
4:39:30 - Stack
5:08:00 - Queue
5:55:05 - Binary Tree
6:59:56 - Binary Search Tree
7:57:57 - Hashing (Hash Tables & Functions)
8:55:15 - Graph Data Structure
9:13:54 - Adjacency Matrix and Adjacency List
9:50:18 - Graph Traversal
9:50:51 - Breadth First Traversal
9:53:31 - Breadth First Search
10:37:27 - Depth First Search

What is DSA?
DSA stands for Data Structures and Algorithms. It refers to a set of techniques and methods used to organise and manipulate data in a computer program. Data structures are a way of organising and storing data in a way that enables efficient access and modification, while algorithms are a set of instructions that perform a specific task or solve a problem.

What is data structure?
A data structure is a way of organising and storing data in a computer program so that it can be accessed and manipulated efficiently. It defines a set of rules for how data is organised, how it is accessed, and how operations can be performed on it. Examples include arrays, linked lists, and trees.

What is an algorithm?
An algorithm is a set of instructions for solving a problem or performing a task in a computer program. It defines a series of steps or procedures that must be followed in order to achieve a desired outcome. Algorithms are used in a wide range of applications, from search engines to robotics.

Types of DSA
There are many types of Data Structures and Algorithms (DSA) including arrays, linked lists, stacks, queues, trees, graphs, hashing, and sorting and searching algorithms. Each DSA has its own strengths and weaknesses and is suitable for different types of data processing and storage needs.

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