This course provides a complete and visually engaging introduction to data structures and algorithms using Java, with a strong focus on helping learners prepare for software engineering interviews. Instead of relying on memorization, the course emphasizes deep understanding through animations, step-by-step visual explanations, and practical coding examples.

You will start with the fundamentals of algorithm analysis, learning how to evaluate time complexity and space complexity effectively. The course then introduces asymptotic analysis and notations such as Big O, Omega, and Theta, helping you understand how algorithms behave as input size grows.

After building a strong theoretical base, the course moves into core data structures including arrays, matrices, linked lists (singly, doubly, and circular), stacks, queues, trees, graphs, heaps, and tries. Each structure is explained visually and reinforced with coding implementations.

You will also explore important algorithmic techniques such as recursion, searching, sorting, and dynamic programming. These topics are commonly asked in technical interviews and are explained in a way that connects theory with real coding problems.

By the end of this course, you will have a solid foundation in DSA, improved problem-solving skills, and the ability to confidently tackle coding i