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

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. ______________________________________________________________________________ About SCALER: A transformative tech school, creating talent with impeccable skills. Upskill and Create Impact. Learn more about Scaler: https://bit.ly/477jZTu 📌 Follow us on Social and be a part of an amazing tech community📌 👉 Meet like-minded coder folks on Discord -   / discord   👉 Tweets you cannot afford to miss out on -   / scaler_official   👉 Check out student success stories, expert opinions, and live classes on Linkedin -   / scalerofficial   👉 Explore value-packed reels, carousels and get access to exclusive updates on Instagram -   / scaler_official   📢 Be a part of our one of a kind telegram community: https://t.me/Scalercommunity 🔔 Hit that bell icon to get notified of all our new videos 🔔 If you liked this video, please don't forget to like and comment. Never miss out on our exclusive videos to help boost your coding career! Subscribe to Scaler now! https://www.youtube.com/Scaler?sub_co...