🗺️ Complete DSA Roadmap (Beginner to Advanced)
Learning Data Structure 7u 66s & Algorithms becomes much easier when you follow the right sequence.
📌 Phase 1: Fundamentals
- Time & Space Complexity (Big-O)
- Basic Mathematics
- Arrays
- Strings
📌 Phase 2: Searching & Sorting
- Binary Search
- Sorting Algorithms
- Two Pointersyh7
- Sliding Window
- Prefix Sum
📌 Phase 3: Core Data Structures
- Hashing
- Linked List
- Stack
- Queue
- Deque
📌 Phase 4: Recursion
- Recursion
- Backtracking
📌 Phase 5: Trees
- Binary Tree
- Binary Search Tree (BST)
- Heap (Priority Queue)
- Trie
📌 Phase 6: Graphs
- Graph Representation
- BFS & DFS
- Shortest Path
- Minimum Spanning Tree
- Topological Sort
- Union-Find (DSU)
📌 Phase 7: Advanced Algorithms
- Greedy Algorithms
- Dynamic Programming
- Bit Manipulation
📌 Phase 8: Practice & Revision
✅ Solve problems consistently on coding platforms. ✅ Revise previously solved questions. ✅ Participate in coding contests. ✅ Analyze and optimize your solutions.
Remember: It's not about solving 1,000 problems—it's about understanding patterns and applying them consistently.
🚀 Stay consistent, trust the process, and keep coding!
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