Learning Tracks
Many tracks and dozens of sub-tracks. Every track starts with a free intro lesson.
Data structures and algorithms, zero to interview-ready.
Two sub-tracks. Take Data Structures first, then Algorithms.
Implement every core data structure from scratch and learn what each one costs: arrays, linked lists, stacks, queues, hash tables, trees, heaps, graphs, tries, and range-query structures (segment + Fenwick trees). Ends with a tested data structures library on GitHub and a job readiness lesson.
Big O analysis, binary search, sorting, recursion, dynamic programming, greedy methods, graph algorithms, string patterns, and backtracking, taught as the patterns that appear in real coding interviews. Ends with a portfolio project and a technical-interview job readiness lesson.