Covers array operations, searching, and sorting techniques along with problem-solving methods like prefix sum and sliding window to develop strong logical thinking and coding skills.

Focuses on dynamic memory structures including singly, doubly, and circular linked lists, along with operations, traversal, and real-world problem-solving using linked list techniques.

Introduces stack and queue data structures, their implementations, and applications such as expression evaluation, recursion handling, and real-time processing problems.

Explains hierarchical data structures including binary trees, BST, and heaps, along with traversal techniques and problem-solving for efficient data organization and retrieval.

Covers graph representations, traversal algorithms, hashing techniques, and advanced problem-solving strategies to handle complex data relationships and optimize algorithm performance.