DSA Roadmap for Placements and Jobs

Introduction

Mastering Data Structures and Algorithms (DSA) is essential for excelling in coding interviews and landing top tech jobs. This roadmap provides a clear path to mastering DSA with structured topics, curated resources, and practice platforms.

Recommended Resources

GeeksforGeeks - Comprehensive tutorials and problem sets.
LeetCode - Platform for practicing coding problems.
HackerRank - Coding challenges for placements.
Fork Java (GfG) - Java-based DSA course.
MyCodeSchool (YouTube) - Video tutorials for DSA concepts.

30-Day DSA Roadmap

Week 1

Day 1-3: Arrays and Strings - Basics, Sliding Window, Two Pointer Techniques.
Day 4-6: Sorting Algorithms (QuickSort, MergeSort) and Binary Search.
Day 7-8: Recursion and Backtracking (Subset Problems, N-Queens, Sudoku Solver).

Week 2

Day 9-11: Linked Lists (Singly, Doubly, Circular) and practice reversal, merging, and detection of cycles.
Day 12-14: Stacks and Queues - Basics, Monotonic Stack, Sliding Window Maximum.
Day 15-17: Trees (Binary Trees, Traversals, Lowest Common Ancestor) and Binary Search Trees (Insert/Delete/Search).

Week 3

Day 18-20: Graph Algorithms (DFS, BFS, Cycle Detection, Shortest Path - Dijkstra, Floyd-Warshall).
Day 21-23: Dynamic Programming (Knapsack, Longest Common Subsequence, Coin Change).
Day 24-25: Greedy Algorithms (Activity Selection, Huffman Encoding, Fractional Knapsack).

Week 4

Day 26-27: Hashing and Hash Tables (Two Sum, Anagrams, Subarray Sum Equals K).
Day 28-29: Segment Trees and Tries (Prefix Matching, Auto-complete).
Day 30: Heaps and Priority Queues (Top K Elements, Median Maintenance).

Practice Links

Striver's DSA Sheet

Striver's SDE Sheet - Complete list of DSA problems with solutions.