Data Structures & Algorithms Mastery

Crack coding interviews & build efficient software — Master core DSA concepts, problem-solving patterns, and competitive programming techniques

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What You'll Master

  • ✓ Time & Space Complexity (Big-O, Analysis)
  • ✓ Arrays, Strings, Linked Lists, Stacks & Queues
  • ✓ Trees, Binary Search Trees, Heaps & Hashing
  • ✓ Graphs, BFS, DFS, Shortest Paths & Topological Sort
  • ✓ Dynamic Programming, Greedy, Backtracking & Divide & Conquer
  • ✓ Advanced Topics: Trie, Segment Tree, Bit Manipulation
  • ✓ 300+ Coding Problems (LeetCode, Codeforces style) & Mock Interviews

Course Snapshot

Duration: 6 months

Level: Beginner → Advanced

Format: Live Sessions

Certificate: Yes

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Curriculum Overview

Asymptotic notation (Big-O, Omega, Theta), best/average/worst case, time & space complexity analysis, recursion basics, master theorem, amortized analysis...

Arrays & strings (two-pointer, sliding window), linked lists (singly/doubly/circular), stacks (monotonic, next greater), queues & deques, hashing (hash tables, collision resolution, hash maps in depth)...

Binary trees, binary search trees (BST), AVL trees intro, heaps (binary heap, priority queue), tries (prefix tree), segment trees & fenwick tree basics...

Graph representation (adjacency list/matrix), BFS & DFS, cycle detection, shortest path (Dijkstra, Bellman-Ford, Floyd-Warshall), minimum spanning tree (Kruskal, Prim), topological sort, strongly connected components...

Sorting & searching (quick, merge, heap sort), binary search applications, greedy algorithms, backtracking (subsets, permutations, N-Queens), dynamic programming (1D, 2D, state compression, knapsack, LCS), bit manipulation tricks, 300+ curated problems, mock interviews & contest strategies...

Ready to Master DSA?

Limited seats — ace your next coding interview today!

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