Master Non-Linear Data Structures

In this online course "Master Non-Linear Data Structures", you will be introduced to the powerful and versatile world of non-linear data structures. These data structures are essential for solving complex problems in computer science, and are used in various fields such as software development, databases, and artificial intelligence.

You will start by learning about Trees, a basic yet powerful data structure that is used to organize and manage data in a hierarchical structure. You will learn about the different types of Trees, including Binary Search Trees (BST), Binary Trees (BT), and AVL Trees, and how to implement them in code. You will also learn about the various operations that can be performed on Trees, such as insertion, deletion, and search.

Next, you will dive into Heaps, a data structure that allows for efficient access and manipulation of the largest or smallest element. You will learn about the different types of Heaps, such as max-heaps and min-heaps, and how to implement them in code.

You will also learn about Tries, a data structure that is used to efficiently store and search large sets of strings. This data structure is particularly useful in applications such as spell-checking and auto-complete.

Finally, you will delve into Graphs, a data structure that is used to represent relationships between different objects. You will learn about the different types of Graphs, such as undirected and directed graphs, and how to implement them in code. You will also learn about the various algorithms used to traverse and search Graphs, such as depth-first search and breadth-first search.

Throughout the course, you will be solving many challenging coding questions online to solidify your understanding of these complex data structures. The course is designed for experienced programmers who are looking to expand their knowledge and skills. By the end of the course, you will be a master of non-linear data structures and be equipped to tackle even the most complex coding challenges.