Java DSA Learning Path for Top MNC Interviews

🎯 Target: Master DSA in Java for Top MNC Placements

📚 Learning Structure

This repository is organized by difficulty and topic to help you systematically master DSA:

1. Basic Patterns & Techniques

• Two Pointers
• Sliding Window
• Binary Search
• Prefix Sum
• Kadane's Algorithm

2. Data Structures Deep Dive

• Arrays & Strings
• Linked Lists
• Stacks & Queues
• Trees & Graphs
• Heaps
• Hash Tables

3. Advanced Algorithms

• Dynamic Programming
• Backtracking
• Greedy Algorithms
• Graph Algorithms (DFS, BFS, Dijkstra)

4. Interview Patterns

• Top K Elements
• K-way Merge
• Subsets/Permutations
• Cyclic Sort
• In-place Reversal

🚀 How to Use This Repository

1. Start with Basic Patterns - Master fundamental techniques first
2. Practice Daily - Solve at least 2-3 problems daily
3. Understand Patterns - Don't just solve, understand the underlying patterns
4. Time Yourself - Practice with time constraints (15-20 mins per problem)
5. Review Solutions - Always review optimal solutions after solving

📊 Problem Difficulty Distribution

• Easy: 30% (Build confidence)
• Medium: 50% (Most interview questions)
• Hard: 20% (Advanced concepts)

🎯 Top MNC Interview Focus Areas

• Arrays & Strings: 25%
• Linked Lists: 15%
• Trees & Graphs: 20%
• Dynamic Programming: 20%
• System Design Basics: 10%
• Other: 10%

📝 Code Standards

• Clean, readable code
• Proper comments explaining logic
• Time & Space complexity analysis
• Multiple approaches when possible

🔗 Useful Resources

• LeetCode: https://leetcode.com
• GeeksforGeeks: https://geeksforgeeks.org
• HackerRank: https://hackerrank.com

---

Happy Coding! 🚀