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Data Structures & Algorithms Course

Original price was: $257.00.Current price is: $127.00.

Crack the coding interview and become a stronger problem solver. Master arrays, trees, graphs, dynamic programming, and algorithmic thinking across 10 weeks and 20 modules.

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Description

Think Like an Engineer. Solve Like a Pro.

Data structures and algorithms aren’t just interview trivia — they’re the foundation of efficient software. The DSA Course teaches you to see problems differently, choose the right data structure instinctively, and write solutions that don’t just work but work well. Over 10 weeks and 20 modules, you’ll build the problem-solving muscle that separates good developers from great ones.

What You’ll Build

  • Algorithm Visualizer — An interactive web tool that animates sorting algorithms, tree traversals, graph searches, and pathfinding in real time
  • Custom Data Structure Library — A tested, documented library implementing advanced data structures (LRU cache, trie, segment tree, disjoint set) with real-world use cases
  • Mini Search Engine — A text indexing and retrieval system using inverted indexes, tries, and ranking algorithms

Curriculum Overview — 20 Modules

Foundations (Weeks 1–2): Big-O notation and complexity analysis, arrays, strings, and two-pointer techniques, hash tables and collision strategies, stacks, queues, and monotonic patterns, linked lists (singly, doubly, circular)

Trees & Graphs (Weeks 3–5): Binary trees and binary search trees, tree traversals (BFS, DFS, level-order), balanced trees (AVL, red-black concepts), heaps and priority queues, graph representations (adjacency list/matrix), BFS, DFS, topological sort, shortest path algorithms (Dijkstra, Bellman-Ford), minimum spanning trees (Kruskal, Prim)

Algorithm Paradigms (Weeks 6–8): Recursion and backtracking, divide and conquer, greedy algorithms and proof of correctness, dynamic programming — top-down and bottom-up approaches, common DP patterns (knapsack, LCS, edit distance, coin change), sliding window and interval techniques

Advanced Topics (Weeks 9–10): Tries and string algorithms (KMP, Rabin-Karp), segment trees and binary indexed trees, union-find and disjoint sets, bit manipulation techniques, system design meets DSA — choosing structures at scale, mock interview strategies and time management

What’s Included

  • 20 structured modules with visual explanations
  • 200+ coding problems organized by pattern and difficulty
  • 3 portfolio projects demonstrating algorithmic thinking
  • AI-powered solution analysis and optimization suggestions
  • Private DSA study group community
  • Certificate of completion
  • Lifetime access to all materials and future updates

Who This Is For

Developers preparing for technical interviews at top companies, self-taught programmers filling CS fundamentals gaps, competitive programming enthusiasts, or any developer who wants to write faster, more efficient code. Basic programming ability in any language required.

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