Learning Paths
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Data Structures & Algorithms — Zero to Expert
Every core data structure and algorithm technique, from your first array to graph algorithms and dynamic programming — built for both real engineering work and technical interviews.
+520 XP32h (406m total)27 lessons0 enrolled
What you'll learn
- Time/space complexity analysis
- Core data structures
- Recursion & backtracking
- Dynamic programming
- Graph algorithms
- Interview problem-solving patterns
Curriculum— 6 modules, 27 lessons
Why DSA Actually Matters Beyond InterviewsFREE10mBig-O Notation — Measuring Time and Space Like an EngineerFREE15m
Arrays and Strings — the Data Structures You Already Use15m
Exercise — Analyze the Complexity of 5 Real Code Snippets20m
Linked Lists — Singly, Doubly, and When to Actually Use Them15m
Stacks and Queues — LIFO/FIFO in Real Systems12m
Recursion — Thinking in Smaller Subproblems15m
Hash Tables — the Data Structure Behind Everything Fast15m
Binary Trees and Binary Search Trees15m
Tree Traversals — DFS, BFS, and When Each Matters12m
Heaps and Priority Queues15m
Tries — the Data Structure Behind Autocomplete12m
Exercise — Design an LRU Cache20m
Graph Representations — Adjacency List vs Matrix12m
Graph Traversal — BFS and DFS in Practice15m
Shortest Paths — Dijkstra's and Bellman-Ford18m
Union-Find and Minimum Spanning Trees15m
Sorting Algorithms — What's Actually Used in Production15m
Divide and Conquer12m
Greedy Algorithms12m
Dynamic Programming Part 1 — Memoization and Tabulation18m
Dynamic Programming Part 2 — Knapsack, LCS, Edit Distance18m
Backtracking15m
Advanced Patterns — Sliding Window, Two Pointers, Monotonic Stack18m
Bit Manipulation for the Working Engineer12m
How to Approach Any DSA Interview Problem — a Real Framework15m
Checkpoint — DSA Comprehensive Review20m