Uploaded August 2026 | Updated September 2026, 2 weeks ago

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Build an intuitive mental model of core data structures and algorithms using relatable, real-world analogies. Topics range from arrays and hash maps to trees, graphs, and dynamic programming. Once you grasp the underlying logic and problem-solving mechanics covered here, implementing them in any programming language becomes easy.

- Sumit's YouTube Channel: youtube.com/@logicBaseLabs
- Sumit's Bangla-language YouTube Channel: youtube.com/@LearnwithSumit
- Sumit's website: sumitsaha.me
- logicBase Labs Facebook page: facebook.com/logicBaseLabs
- Sumit's previous freeCodeCamp videos:
➡ Next.js Caching Masterclass:youtube.com/watch?v=qYk_BqGHXEg
➡ JavaScript DOM Course:youtube.com/watch?v=c6IyCwAV6BY
➡ Git-GitHub Course: youtube.com/watch?v=mAFoROnOfHs
- Sumit's many freeCodeCamp handbooks and tutorials: freecodecamp.org/news/author/sumitsaha
- Sumit's Interview with freeCodeCamp Founder Quincy Larson: freecodecamp.org/news/how-to-stay-curious-as-a-dev-in-the-ai-hype-era-with-sumit-saha-podcast-205

❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: scrimba.com/freecodecamp

⭐️ Contents ⭐️
- 0:00:00 Introduction to DSA
- 0:07:13 Array
- 0:11:38 Linked List
- 0:16:01 Stack
- 0:18:54 Queue
- 0:24:06 Priority Queue & Heap
- 0:29:41 Hash Table & Set
- 0:30:11 Tree
- 0:36:39 Trie
- 0:41:03 Graph
- 0:44:25 Algorithm - Searching
- 0:47:54 Algorithm - Sorting
- 0:51:20 Recursion
- 0:57:06 Graph Traversal (DFS/BFS)
- 0:59:36 Shortest Path – Dijkstra’s Algorithm
- 1:02:25 Algorithm Technique
- 1:07:47 Conclusion

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