ake your problem-solving skills to the next level with our Advanced Data Structures and Algorithms (DSA) Course. Designed for students, software engineers, and coding interview aspirants, this course focuses on advanced DSA concepts commonly asked in technical interviews at top product-based companies.

You'll learn powerful techniques such as Backtracking, Trees, Binary Search Trees (BST), Heaps, Greedy Algorithms, Dynamic Programming, and Graph Algorithms through step-by-step video lessons, real-world coding examples, and challenging practice problems.

By the end of this course, you'll be able to solve complex algorithmic problems efficiently, excel in coding interviews, and build a strong foundation for competitive programming.

What You'll Learn

Backtracking Algorithms
Binary Trees
Tree Traversals
Binary Search Trees (BST)
Heap & Priority Queue
Greedy Algorithms
Dynamic Programming (Memoization & Tabulation)
Graph Algorithms (BFS, DFS, Shortest Path, MST)
Disjoint Set Union (DSU)
Topological Sort
Advanced Problem-Solving Techniques
Coding Interview Patterns

Who Should Take This Course?

Students who have completed Basic DSA
Software engineering interview aspirants
Competitive programmers
Developers preparing for product-based companies
Anyone looking to master advanced algorithms

Prerequisites

Strong understanding of Basic Data Structures and Algorithms
Knowledge of Arrays, Strings, Searching, Sorting, Recursion, Stack, Queue, and Linked List
Basic programming skills in C++, Java, Python, or JavaScript

1 - Liskov Substitution Principle (LSP)

Coming Soon