Repository files navigation

Welcome to your DSA journey with JavaScript! This roadmap is designed to build strong problem-solving skills, improve algorithmic thinking, and prepare you for technical interviews.

• Master core data structures and algorithms using JavaScript
• Build strong intuition for optimizing time and space complexity
• Solve real-world coding problems and crack interviews with confidence

• [✅] Big O Notation (Time & Space)
• [✅] Common Complexities (O(1),O(n),O(log n), etc.)
• [✅] Analyzing Loops and Nested Structures
• [✅] Memory Usage

• [✅] Arrays
• [✅] Strings
• [✅] Stacks
• Queues

• Singly Linked Lists
• Doubly Linked Lists

• Trees (Binary Tree, BST)
• Heaps (Min/Max)
• Tries

• Graphs (Adjacency List, Matrix)
• Sets and Maps (Hash Tables)

• Recursion
• Iteration vs Recursion
• Backtracking

• Linear Search
• Binary Search
• BFS & DFS (Trees & Graphs)

• Bubble Sort
• Selection Sort
• Insertion Sort
• Merge Sort
• Quick Sort

• Two-Pointer Pattern
• Sliding Window
• Divide & Conquer
• Greedy Algorithms
• Dynamic Programming (Memoization & Tabulation)

• Easy: 30–40 LeetCode-style problems
• Medium: 40–50 real-world problems
• Hard: 20+ advanced problems
• Mock Interview Rounds

• Editor: VS Code or LeetCode Playground
• Track Progress: GitHub, Notion, or this README
• Practice Sites: LeetCode, HackerRank, CodeSignal
• Visual Tools:visualgo.net,bigocheatsheet.com

“Data Structures + Algorithms = Programs.” – Niklaus Wirth