Roadmap for Data Structures and Algorithms (DSA)
Master Data Structures and Algorithms: Your Complete Roadmap
Learn the core concepts of DSA step-by-step to excel in coding interviews, competitive programming, and software development.
Basic overview
What are Data Structures and Algorithms?
Learn MoreWhy Learn DSA?
Learn MoreEstimated time commitment for the roadmap.
Learn MorePhases of the DSA Roadmap
Phase 1: Fundamentals of Programming
Basics of Variables, Data Types, and Input/Output
Learn MoreConditional Statements (if-else, switch)
Learn MoreLoops (for, while, do-while)
Learn MoreFunctions and Recursion
Learn MoreTime and Space Complexity Basics
Learn MorePhase 2: Basic Data Structures
Arrays and Strings
Learn MoreLinked Lists (Singly and Doubly Linked Lists)
Learn MoreHashing and Hash Tables
Learn MorePractice Problems
Learn MorePhase 3: Advanced Data Structures
Trees: Binary Trees, Binary Search Trees
Learn MoreHeaps and Priority Queues
Learn MoreGraphs: Representation (Adjacency List, Matrix)
Learn MoreTries and Suffix Trees
Learn MoreDisjoint Set (Union-Find)
Learn MorePhase 4: Sorting and Searching Algorithms
Bubble Sort, Selection Sort, Insertion Sort
Learn MoreMerge Sort, Quick Sort, Heap Sort
Learn MoreBinary Search and Its Variations
Learn MorePractice Problems
Learn MorePhase 5: Divide and Conquer
Understanding the Divide and Conquer Paradigm
Learn MoreApplications in Sorting and Searching
Learn MoreAdvanced Examples: Matrix Multiplication
Learn MorePhase 6: Dynamic Programming (DP)
Introduction to DP
Learn MoreMemoization vs. Tabulation
Learn MoreCommon DP Problems:
Longest Common Subsequence , Knapsack Problem , Matrix Chain Multiplication
Learn MorePhase 7: Greedy Algorithms
Greedy Algorithm Basics
Learn MoreClassic Problems:
Activity Selection Problem , Huffman Coding , Minimum Spanning Tree (Prim's and Kruskal's)
Learn More