Advanced DSA for Interview-level Problem Solving [Java]

If you already know the basics of Data Structures & Algorithms but still get stuck on LeetCode Medium/Hard, Dynamic Programming, or Graphs, this course is your step-by-step bridge to interview-level problem solving.This is an Advanced DSA course focused on FAANG/MAANG-style coding interviews. Instead of memorizing random solutions, you’ll learn the patterns, templates, and thinking process used to solve a wide range of problems under pressure.What you’ll master in this courseAdvanced problem-solving patterns (sliding window, two pointers, prefix sums, monotonic stack/queue, binary search on answer, greedy, backtracking, divide & conquer)Trees (core traversals + tricky variations, recursion strategies, common interview tree models)Graphs (DFS/BFS, shortest paths, topological sorting, union-find, graph modeling patterns)Dynamic Programming (DP) from scratch the right way: state, transition, base cases, optimization, recursion → memoization → tabulationHow to analyze constraints, avoid wrong approaches, and optimize from brute force to efficient solutionsWriting clean interview-ready code + handling edge cases confidentlyExplaining solutions clearly: approach, complexity, tradeoffs, and reasoning (the part most candidates miss)How this course is differentPattern-first learning: you’ll learn reusable templates, not one-off tricksInterview thinking process: how to spot the right approach quicklyProblem variations: learn how one pattern extends to multiple question typesStructured roadmap: no random problem lists