💻 Master DSA

Course Overview

This comprehensive DSA course focuses on building strong fundamentals — arrays, linked lists, trees, graphs, complexity analysis, and common algorithm patterns. Includes 300+ guided problems, mock interview sessions, and coding challenges to prepare you for FAANG interviews.

Course Highlights

Core Topics Covered

What You'll Learn

• Complexity Analysis (Big-O) — Understand time and space complexity for optimal solutions
• Arrays & Strings — Two pointers, sliding window, prefix sum techniques
• Linked Lists — Fast-slow pointers, reversal, merging, cycle detection
• Trees & Graphs — DFS, BFS, traversals, shortest paths, spanning trees
• Sorting & Searching — All major algorithms, binary search variations
• Dynamic Programming — Memoization, tabulation, common DP patterns
• Advanced Data Structures — Heaps, tries, segment trees, disjoint sets
• Interview Strategy — How to approach problems, communicate solutions, and handle edge cases

Syllabus (Modules)

1. Fundamentals & Complexity Analysis — Big-O notation, space-time tradeoffs, problem-solving frameworks
2. Arrays, Strings & Hashing — Core patterns, two pointers, sliding window, frequency counting
3. Recursion & Backtracking — Base cases, recursive thinking, permutations, combinations, N-Queens
4. Linked Lists & Stacks/Queues — Implementation, manipulation, fast-slow pointers
5. Trees & Binary Search Trees — Traversals, construction, validation, lowest common ancestor
6. Graphs & Advanced Traversals — DFS, BFS, Dijkstra, topological sort, union-find
7. Dynamic Programming & Greedy — Classic DP problems, optimization techniques, greedy choice property
8. Advanced Topics & Mock Interviews — Heaps, tries, bit manipulation, system design basics, 8+ mock sessions