Basic Data Structures and Algorithms – Self Paced

Master the fundamentals of programming with our comprehensive Data Structures and Algorithms (DSA) course, designed as per the latest AICTE norms and delivered by Alpha Innovation Pvt. Ltd. This course provides the essential building blocks for computer science and software development, making it ideal for students, coding enthusiasts, and professionals preparing for technical interviews.

You’ll begin with an Introduction to Data Structures and Algorithms, covering definitions, importance, time and space complexity, and asymptotic notations like Big O, Omega, and Theta. Next, you’ll learn about Arrays, their operations, and popular sorting and searching algorithms.

The course dives into Stacks and Queues, exploring their operations and applications, followed by Linked Lists (singly, doubly, and circular) with real-world use cases. You’ll then explore Trees — from binary trees and traversals to binary search trees and their applications.

A major focus is given to Graphs, including types, traversal algorithms (BFS, DFS), shortest path algorithms, and minimum spanning tree algorithms, along with practical applications.

Advanced sections cover Sorting Algorithms (Bubble, Selection, Insertion, Merge, Quick, Heap) and Searching Algorithms (Linear, Binary, Hash Tables). You’ll also build problem-solving skills through Recursion and Dynamic Programming, learning memoization, tabulation, and advanced examples.

Finally, the course deepens your understanding of Complexity Theory, equipping you to analyze algorithms efficiently.

By the end of this course, you’ll have a strong grasp of DSA concepts, problem-solving techniques, and algorithmic thinking, making you interview-ready for top tech companies and prepared for advanced computer science studies.