Algorithms

Lessons

1. 1

   Big O Notation

   Free

   Read and reason about complexity in Big O and analyze code for its time and space cost.

   Beginner·35 min
2. 2

   Binary Search

   Implement binary search iteratively and recursively, and handle the leftmost/rightmost variations.

   Beginner·35 min
3. 3

   Sorting Algorithms

   Compare bubble, insertion, merge, quick, heap, and non-comparison sorts and know which to use when.

   Intermediate·50 min
4. 4

   Recursion

   Write correct recursive functions and know when iteration is the better choice.

   Intermediate·40 min
5. 5

   Dynamic Programming

   Recognize DP problems and solve them top-down and bottom-up (coin change, LCS).

   Advanced·55 min
6. 6

   Greedy Algorithms

   Apply the greedy choice property, and know when greedy works and when it fails.

   Intermediate·40 min
7. 7

   Graph Algorithms

   Apply BFS/DFS beyond traversal, implement Dijkstra, topological sort, and union-find.

   Advanced·55 min
8. 8

   String Algorithms

   Apply sliding window and two-pointer patterns and understand substring search.

   Intermediate·45 min
9. 9

   Backtracking

   Apply the backtracking pattern to permutations, combinations, and constraint puzzles.

   Advanced·50 min
10. 10

    Passion Project: Algorithm Visualizer or Pattern Repo

    Build a portfolio project applying the sub-track's algorithms: an interactive visualizer or a documented pattern-solutions repo.

    Advanced·240 min
11. 11

    Technical Interview Job Readiness

    Understand LeetCode-style interviews, approach problems out loud, manage time, and recognize recurring patterns.

    Beginner·40 min