Advanced Data Structures and Algorithms – Self Paced

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Take your programming and problem-solving skills to the next level with our Advanced Data Structures and Algorithms (DSA) course, updated as per AICTE norms. This course is ideal for computer science students, coding enthusiasts, and professionals preparing for competitive programming, coding interviews, and advanced software engineering roles.

The program starts with the Introduction to Data Structures and Algorithms, their importance, and complexity analysis. You’ll review basic operations before moving into advanced applications.

Learn Arrays in-depth, including one-dimensional and multi-dimensional arrays, followed by Linked Lists (singly, doubly, and circular) with real-world implementations. Next, explore Stacks and Queues with use cases, and then move on to Trees — binary trees, binary search trees, traversals (inorder, preorder, postorder), and applications.

The course emphasizes Graphs, covering traversals (DFS, BFS), shortest path algorithms, and minimum spanning trees. A strong foundation is built with Sorting Algorithms (Bubble, Selection, Insertion, Merge, Quick, Heap, Shell, Radix, and Bucket) and Searching Algorithms (Linear, Binary, Interpolation, Ternary, Exponential, Fibonacci). You’ll also dive into Hash Tables and collision resolution techniques.

A highlight of the program is Advanced Data Structures such as AVL Trees, Red-Black Trees, B-Trees, Disjoint Sets, Heaps, and Priority Queues. You’ll also master Algorithm Design Techniques like greedy algorithms, divide and conquer, dynamic programming, backtracking, and branch & bound.

Special modules cover Advanced Graph Algorithms (network flow, Eulerian & Hamiltonian paths, planar graphs), String Algorithms (string matching, tries, suffix trees/arrays, regular expressions), Complexity Theory (NP-completeness, approximation algorithms), and Parallel & Randomized Algorithms for high-performance computing.

By the end of this course, you’ll have advanced-level expertise in data structures, algorithms, and problem-solving strategies, making you industry-ready for roles such as Software Engineer, Competitive Programmer, Data Scientist, and Algorithm Specialist.