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Learning objectives
- Time and space complexity (Big O)
- Arrays and strings
- Linked lists (singly, doubly)
- Stacks and queues
- Basic recursion
What to expect
- Animated interactive explainers per concept
- Real code examples with production gotchas
- Step-by-step breakdowns you can follow along
- Interview tips embedded in every lesson
Lessons — 0 of 5 complete
- 01Time & Space ComplexityINTERACTIVE
Big O, best/average/worst case, analyzing algorithms
~96 min - Arrays & StringsINTERACTIVE
Traversal, two pointers, sliding window
~96 min - Linked ListsINTERACTIVE
Singly and doubly linked lists; dummy nodes, reversal
~96 min - Stacks & QueuesINTERACTIVE
Implementation, use cases, monotonic stacks
~96 min - Basic RecursionINTERACTIVE
Base case, recurrence, recursion vs iteration
~96 min