This advanced course explores powerful data structures and algorithms used in real-world software systems using Data Structures and Algorithms. It is designed for learners who already understand basic programming concepts and want to move into more advanced topics.

The course begins with symbol tables and their implementations, explaining how key-value data is stored and managed efficiently using structures like linked lists and binary search arrays. You then study binary search trees (BSTs), which are fundamental for fast searching, insertion, and deletion operations.

Next, the course covers ordered operations in BSTs, including finding minimum, maximum, floor, and ceiling values, which are essential for many algorithmic problems. You will also learn how deletion works in BSTs and how to handle complex cases correctly.

The course then introduces heapsort, an efficient in-place sorting algorithm, before moving into advanced tree structures such as 2-3 trees and red-black trees. These are used to maintain balanced search trees for optimal performance.

Finally, you explore practical applications of red-black trees, showing how these structures are used in real systems for efficient data management.

By the end of this course, you will understand advanced tree-based data structures and their real-world applications in computing.