Course Overview
Why DSA is Non-Negotiable
Crack Any Interview
Google, Amazon, Microsoft, Flipkart — every top company tests DSA. This course is your blueprint.
Write Faster Code
Learn Big O notation and choose the right data structure so your programs run in milliseconds, not minutes.
Think Algorithmically
Break complex problems into clear steps. Recursion, dynamic programming, greedy — all made intuitive.
Language Agnostic
Taught in Python and Java — the concepts apply to any language. Learn once, code anywhere.
Quick Reference
Big O Complexity Overview
| Data Structure | Access | Search | Insert | Delete |
|---|---|---|---|---|
| Array | O(1) | O(n) | O(n) | O(n) |
| Linked List | O(n) | O(n) | O(1) | O(1) |
| Hash Table | — | O(1) | O(1) | O(1) |
| Binary Search Tree | O(log n) | O(log n) | O(log n) | O(log n) |
| Heap | O(n) | O(n) | O(log n) | O(log n) |
| Graph (Adj. List) | O(V+E) | O(V+E) | O(1) | O(E) |
Curriculum
Module Breakdown
1
Foundations — Arrays, Strings & Complexity
7 Topics
- Big O Notation & Time/Space Analysis
- Arrays — 1D & 2D, Sliding Window, Two Pointers
- String Manipulation & Pattern Matching
- Hashing & HashMaps
- Recursion & Backtracking Fundamentals
- Sorting: Bubble, Selection, Insertion, Merge, Quick
- Problem Set: 20 LeetCode-style Problems
2
Linear Data Structures
6 Topics
- Linked Lists: Singly, Doubly, Circular
- Stack: Implementation & Applications
- Queue: Simple, Circular, Deque, Priority Queue
- Monotonic Stack & Queue Problems
- Prefix Sums & Difference Arrays
- Problem Set: 20 Problems
3
Non-Linear Structures — Trees & Graphs
8 Topics
- Binary Trees: Traversals (BFS, DFS)
- Binary Search Trees: Insert, Delete, Search
- AVL Trees & Balancing
- Heaps & Priority Queues
- Tries — Prefix Trees
- Graph Representations & BFS/DFS
- Shortest Path: Dijkstra, Bellman-Ford
- Problem Set: 25 Problems
4
Advanced Algorithms
7 Topics
- Dynamic Programming: Memoization & Tabulation
- Classic DP: Knapsack, LCS, LIS, Coin Change
- Greedy Algorithms
- Divide & Conquer
- Segment Trees & Fenwick Trees
- Union-Find (Disjoint Set)
- Capstone: Mock Interview Session + 30 Problems
Learning Outcomes
What You'll Walk Away With
Solve medium–hard LeetCode problems with confidence
Analyze any algorithm's time and space complexity
Implement all major data structures from scratch
Apply dynamic programming to optimization problems
Ace technical interviews at product-based companies
Write clean, efficient code that scales under pressure