Practice coding interview questions covering arrays, strings, trees, graphs, dynamic programming, sorting, and FAANG-style problem-solving patterns.
Coding interviews at top-tier companies are less about knowing algorithms by heart and more about demonstrating structured problem-solving under time pressure. Interviewers watch how you clarify requirements, choose a data structure, reason through trade-offs, and handle edge cases — before you write a single line of code.
Master the core data structures thoroughly: arrays, linked lists, stacks, queues, hash maps, heaps, binary trees, BSTs, and graphs. For each, know the time complexity of every common operation and when to choose one over another. Build fluency with key algorithmic paradigms: two pointers, sliding window, BFS/DFS, binary search, backtracking, divide and conquer, greedy, and dynamic programming. Dynamic programming deserves particular focus — practise breaking problems into subproblems, identifying the recurrence relation, and choosing between top-down memoisation and bottom-up tabulation.
Use the Top 50 Coding Interview Questions to practise the full flow: understand the problem, state a brute-force approach, optimise it, code it cleanly, and test with examples. Time yourself — 25–35 minutes per problem is realistic for a live interview. The difference between an acceptable submission and an excellent one is usually the clarity of the walkthrough, not the cleverness of the solution.
