- Sorting Algorithms
- Searching Algorithms
- Dynamic Programming
- Greedy Algorithms
- Graph Algorithms
- String Algorithms
- Recursion and Backtracking
- Start with Fundamentals: Begin with basic data structures and their operations
- Practice Implementations: Code each data structure from scratch
- Solve Problems: Work through interview questions progressively
- Analyze Complexity: Always consider time and space complexity
- Review Patterns: Learn common problem-solving patterns
- Mock Interviews: Practice explaining your solutions
- Arrays, Strings, Linked Lists
- Basic sorting and searching
- Stacks and Queues
- Trees (Binary, BST, Balanced)
- Heaps and Priority Queues
- Hash Tables and Sets
- Graph representations
- BFS, DFS, Topological Sort
- Shortest Path algorithms
- Basic DP concepts
- Common DP patterns
- Optimization problems
- Advanced graph algorithms
- String algorithms
- System design basics
- Clarify the Problem: Ask questions about constraints and edge cases
- Think Out Loud: Explain your thought process
- Start Simple: Begin with a brute force solution, then optimize
- Test Your Code: Walk through examples manually
- Discuss Trade-offs: Explain time vs space complexity decisions
- LeetCode: Primary platform for coding practice
- HackerRank: Good for specific algorithm practice
- CodeSignal: Interview simulation
- InterviewBit: Structured learning path
- Pramp: Mock interview practice
Good luck with your interview preparation! Remember: consistency is key. Practice a little every day rather than cramming.