This course starts with the basics of data structures, explaining the key concepts of linked lists, stacks, and queues. You’ll understand their design and implementation, followed by an in-depth exploration of more advanced structures like binary trees, binary search trees, and hash maps. The course emphasizes the importance of selecting the right data structure for different problems, offering clear comparisons between arrays and linked lists, as well as hands-on implementation of each concept in Java. As you move forward, you'll dive into complex algorithms like searching and sorting. You'll study efficient search strategies like linear and binary search, and implement sorting algorithms like bubble sort, selection sort, insertion sort, merge sort, and quick sort. Each algorithm is analyzed for time and space complexity, so you gain a deeper understanding of their efficiency and applications in real-world scenarios. The course also introduces graph algorithms and their applications, along with detailed lessons on graph representation methods such as adjacency matrix and adjacency list. By the end of the course, you’ll have gained the skills to solve real-world problems using data structures and algorithms and apply this knowledge in software development and competitive programming.