Data Structures & Algorithms — Complete Course
A 27-chapter DSA course in Java covering complexity analysis (Big-O/Ω/Θ), arrays, strings, linked lists, stacks, queues, recursion, sorting and searching, trees, BSTs and balanced trees, heaps, hashing, tries, graphs and traversal, shortest path and MST, union-find, segment/Fenwick trees, divide and conquer, greedy algorithms, dynamic programming, and bit manipulation. Every topic follows the same template — definition, intuition, real-life example, diagram, Java code, dry run, brute-force vs. optimized, complexity, common mistakes, interview tips, and practice questions — closing with a master complexity cheat sheet and a practice roadmap.
This is the deep version of the DSA prep — 27 chapters, and actually deep, not 27 topics skimmed. Dynamic programming and graphs are where most people's DSA prep falls apart, and this doesn't shortcut either one. The consistent template per topic — dry run, brute-force vs. optimised, common mistakes — matters more than it sounds; it's what lets you compare your understanding across topics instead of learning each one in isolation.