Data Structures for Coding Interviews in Java

Module 1: Complexity Measures

⏳ ~2 hours

• Topics: Introduction to asymptotic analysis, comparing algorithm performance, Big O of loops and nested structures.

• Hands-on: Challenges to calculate Big O for increasingly complex loops and code snippets.

Module 2: Arrays & Strings

⏳ ~4 hours

• Topics: Array operations, resizing, string manipulation, and pattern searches.

• Hands-on: Solve classical challenges like ‘two-sum’, ‘reverse words’, and more.

Module 3: Linked Lists

⏳ ~4 hours

• Topics: Singly & doubly linked lists, reversal, cycle detection, and merging.

• Hands-on: Implement core list operations and tackle common interview algorithms.

Module 4: Stacks, Queues & Deques

⏳ ~3 hours

• Topics: Stack/queue usage, circular queue behavior, deque operations, LRU design.

• Hands-on: Build these structures and test them through coding exercises.

Module 5: Trees & Graphs

⏳ ~6 hours

• Topics: Binary trees, BSTs, tree traversal, graph representations, BFS, DFS.

• Hands-on: Implement traversals and common interview graph tasks like connectedness and shortest paths.

Module 6: Heaps & Priority Queues

⏳ ~2 hours

• Topics: Heap structure, operations, and usage in top‑K problems.

• Hands-on: Build heaps and solve examples like finding Kth elements.

Module 7: Hash Maps & Sets

⏳ ~3 hours

• Topics: Hash table design, collision handling, and typical use cases.

• Hands-on: Implement a hash map and apply to interview questions using hashing.

Module 8: Comprehensive Review & Challenges

⏳ ~5 hours

• Topics: Thorough wrap-up of all data structures and their question application.

• Hands-on: Complete mixed challenges and past interview-style assessments.

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