LeetCode

Tackle LeetCode patterns: arrays, hash maps, trees, graphs, two pointers, sliding window, and dynamic programming.

8 lessons~225 min total

Lessons

Understand time and space complexity analysis for evaluating algorithm efficiency.

Understand the two foundational linear data structures and their trade-offs.

Learn how hash tables provide near-constant-time lookups using hash functions.

Explore hierarchical and network data structures with traversal techniques.

Learn and compare common sorting algorithms: bubble sort, merge sort, and quicksort.

Learn the divide-and-conquer approach to efficiently search sorted collections.

Master the two-pointer and sliding window techniques used in dozens of LeetCode problems.

Break down DP into recognizable patterns — memoization, tabulation, and the most common problem types.

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