This full course provides a complete introduction to data structures and algorithms using Java. It is designed for beginners who want to understand core programming concepts and improve their problem-solving skills for coding interviews and software development.

The course starts by explaining what data structures and algorithms are and why they are important in programming. It then covers fundamental data structures such as stacks, queues, priority queues, linked lists, and dynamic arrays, with comparisons like LinkedList vs ArrayList.

It also introduces Big O notation, helping learners understand how to measure algorithm efficiency in terms of time and space complexity.

The algorithm section includes essential topics such as linear search, binary search, interpolation search, and multiple sorting techniques like bubble sort, selection sort, insertion sort, merge sort, and quick sort. Recursion is also explained as an important problem-solving technique.

The course further expands into advanced structures like hash tables, graphs, and trees. It explains adjacency matrices, adjacency lists, DFS, BFS, binary search trees, and tree traversal techniques.

By the end of the course, learners will understand how different data structures work, how to choose the right algorithm for a problem, and how to evaluate performance efficiently.