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Coding & DSA Preparation

Learn programming concepts, practise coding problems, master Data Structures and Algorithms, and prepare for technical interviews and coding assessments.

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30+Practice Questions

6Learning Categories

7 DaysStudy Roadmap

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Coding & DSA Interview Questions

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Important DSA Complexity Reference

Understand the time complexity of common data structure and algorithm operations.

Algorithm / Operation	Average / Typical Time	Worst Time
Array access by index	O(1)	O(1)
Linear search	O(n)	O(n)
Binary search	O(log n)	O(log n)
Merge sort	O(n log n)	O(n log n)
Quick sort	O(n log n)	O(n²)
Hash table lookup	O(1) expected	O(n)
Stack push / pop	O(1)	O(1)

Complete Coding & DSA Learning Roadmap

Stage 1Choose a programming language and understand variables, data types, operators and loops.

Stage 2Learn functions, recursion, OOP concepts and basic problem-solving.

Stage 3Practise arrays, strings, searching and sorting algorithms.

Stage 4Study linked lists, stacks, queues, hash tables and trees.

Stage 5Learn graphs, greedy algorithms, backtracking and dynamic programming.

Stage 6Practise SQL, databases, Git, APIs and software development fundamentals.

Stage 7Solve timed coding problems, revise complexity and practise mock interviews.

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Disclaimer: This page provides educational programming and interview preparation material. Code examples are learning references and may need adaptation for production use. Interview questions are practice examples, not official company question papers. Always test code and understand its assumptions before using it.