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FreeLearn Data Structures and Algorithms Visually – Crash Course
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The course is built to give you an intuitive picture of each structure before any code appears. Real-world analogies do the heavy lifting, so a stack or a queue becomes something you can picture rather than a definition to memorise.
Beginners, and programmers who know the syntax but feel shaky on the underlying logic. It works well as a first pass before deeper, code-heavy material, because each chapter is short and maps to a single idea.
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: https://youtube.com/@logicBaseLabs
- Sumit's Bangla-language YouTube Channel: https://youtube.com/@LearnwithSumit
- Sumit's website: https://www.sumitsaha.me/
- logicBase Labs Facebook page: https://facebook.com/logicBaseLabs
- Sumit's previous freeCodeCamp videos:
➡ Next.js Caching Masterclass:https://www.youtube.com/watch?v=qYk_BqGHXEg
➡ JavaScript DOM Course:https://www.youtube.com/watch?v=c6IyCwAV6BY
➡ Git-GitHub Course: https://www.youtube.com/watch?v=mAFoROnOfHs
- Sumit's many freeCodeCamp handbooks and tutorials: https://www.freecodecamp.org/news/author/sumitsaha/
- Sumit's Interview with freeCodeCamp Founder Quincy Larson: https://www.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: https://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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