🚀 DSA Mastery Roadmap – Step by Step Guide for Beginners!

ee steps follow aithe meeru DSA perfect ga nerchukuntaru.

🔥 Phase 1: Understanding the Basics (Week 1-2)

📌 Key Focus: Get comfortable with fundamental concepts and coding syntax.:

✅ Choose a Programming Language (Java, Python, C++, etc.)

✅ Learn Time & Space Complexity (Big-O Notation)

✅ Master Basic Data Structures:(Arrays & Strings, Linked Lists, Stacks & Queues)

🔥 Phase 2: Mastering Core Data Structures (Week 3-6)

📌 Key Focus: Learn essential data structures that appear in coding interviews:

✅ HashMaps & HashSets (Dictionary in Python)

✅ Recursion & Backtracking

✅ Binary Trees & Binary Search Trees (BST)

✅ Heaps & Priority Queues

ee topics aithe must ga nerchukondi

🔥 Phase 3: Dynamic Programming & Advanced Concepts (Week 7-10)

📌 Key Focus: Solve complex problems using optimized approaches.

✅ Graph Algorithms (BFS, DFS, Dijkstra’s Algorithm)

✅ Sorting & Searching (Binary Search, Merge Sort, Quick Sort)
✅ Dynamic Programming (Top-down & Bottom-up approaches)

🔥 Phase 4: Mastering Problem Solving (Week 11-15)

📌 Key Focus: Apply all concepts to real-world problems.

✅ Solve at least 100 coding problems (LeetCode Medium & Hard)
✅ Participate in coding contests (CodeForces, AtCoder, CodeChef)
✅ Mock Interviews & Time-bound practice.

🎯 Final Phase: Real-World Application & Job Readiness (Week 16+)

📌 Key Focus: Apply your DSA skills to real-world scenarios.

✅ Build a Portfolio with Solved Problems & Projects
✅ Prepare for FAANG-style coding interviews
✅ Optimize resume with DSA achievements & GitHub links)