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Data Structures & Algorithms

Master the fundamentals of computer science. Learn data structures, algorithms, and problem-solving techniques with interactive visualizations and real-world examples.

Start Learning

Begin with Introduction to DSA

What You'll Learn

  • Complexity analysis: Big O, time and space complexity
  • Arrays, strings, and fundamental operations
  • Searching algorithms: linear, binary, and variants
  • Sorting algorithms: bubble, merge, quick, heap sort
  • Linked lists: singly, doubly, circular
  • Stacks, queues, and their applications
  • Hash tables, hash maps, and collision handling
  • Trees: binary trees, BST, AVL, heaps, tries
  • Graphs: BFS, DFS, Dijkstra, MST, topological sort
  • Dynamic programming: memoization, tabulation, patterns
  • Problem-solving strategies and patterns
65+
Lessons
13
Modules
50+
Visualizations
Free
Forever

Course Modules

1. Introduction

What is DSA, why it matters

2. Complexity Analysis

Big O, time/space complexity

3. Arrays & Strings

Two pointers, sliding window

4. Searching & Sorting

Binary search, merge sort, quick sort

5. Linked Lists

Singly, doubly, circular, reversal

6. Stacks & Queues

LIFO, FIFO, applications

7. Hashing

Hash tables, maps, sets, collisions

8. Trees

Binary tree, BST, traversals

9. Advanced Trees

Heaps, tries, priority queues

10. Graphs - Part 1

BFS, DFS, topological sort

11. Graphs - Part 2

Dijkstra, MST, advanced algorithms

12. Dynamic Programming - Part 1

1D, 2D DP, knapsack problems

13. Dynamic Programming - Part 2

String DP, tree DP, advanced patterns

Why Learn Data Structures & Algorithms?

Ace Technical Interviews

Master the skills tested by top tech companies like Google, Amazon, Microsoft, and Facebook.

Write Efficient Code

Learn to optimize your code for better performance and scalability in production systems.

Solve Real Problems

Apply algorithms to real-world scenarios like route planning, recommendation systems, and data analysis.