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Advanced DSA for Interview-level Problem Solving [Java]
Udemy MOOC / Non-credit 0

Advanced DSA for Interview-level Problem Solving [Java]

About this course

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

B

69/100

CourseAsk score

What the provider tells you
45/45
Who stands behind it
8/35
How complete the listing is
16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

  • advanced problem-solving patterns
  • different tree traversal techniques
  • graph algorithms such as DFS and BFS
  • dynamic programming fundamentals
  • how to write clean, interview-ready code
  • effective explanation of solutions including tradeoffs and complexity

Course objectives

  • to teach learners reusable problem-solving templates
  • to develop an interview thinking process for quick problem identification
  • to provide a structured roadmap for problem-solving
Software Engineering #problem solving #algorithms #graph algorithms #backtracking #data structures #code optimization #interview preparation #recursion #graphs #trees #dynamic programming #greedy algorithms #bfs #dfs #divide and conquer #sliding window #two pointers #complexity analysis #memoization
$89.99

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