DSA (Data Structures and Algorithms) with JavaScript
To start learning DSA (Data Structures and Algorithms) with JavaScript, here’s a clear, step-by-step plan designed especially for beginners like you. JavaScript is a great choice — especially for front-end developers — and DSA knowledge will help with coding interviews, system design, and problem-solving in real-world apps.
✅ Step-by-Step DSA with JavaScript Roadmap
π Step 1: Understand Why DSA is Important
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Improves problem-solving skills
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Required in coding interviews (FAANG, MNCs, startups)
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Helps optimize application performance
π Step 2: Prerequisites
Make sure you are confident in JavaScript basics, including:
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Variables, Functions, Loops, Conditionals
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Arrays, Objects
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String manipulation
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ES6+ features (like
let,const, arrow functions,map,filter, etc.)
π Step 3: Learn Big O Notation (Time and Space Complexity)
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Understand how to analyze algorithm performance
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Topics: O(1), O(n), O(n²), etc.
π Resource:
✅ Core DSA Topics in JavaScript (With Learning Order)
| Phase | Topics | Key Concepts / Questions To Practice |
|---|---|---|
| 1️⃣ | Arrays & Strings | Reverse array, max sum subarray, duplicates |
| 2️⃣ | Hashing (Objects, Maps, Sets) | Frequency count, anagrams, 2-sum |
| 3️⃣ | Recursion & Backtracking | Factorial, Fibonacci, permutations, maze path |
| 4️⃣ | Linked List (SLL, DLL) | Reverse, detect cycle, find middle |
| 5️⃣ | Stack & Queue | Valid parentheses, min stack, queue using stack |
| 6️⃣ | Trees (Binary Tree & BST) | Traversals (DFS, BFS), height, diameter, balanced tree |
| 7️⃣ | Heaps (Priority Queue) | Min/Max heap, kth largest, heapify |
| 8️⃣ | Graph Algorithms | DFS, BFS, cycle detection, shortest path (Dijkstra) |
| 9️⃣ | Sorting & Searching | Merge sort, Quick sort, Binary Search |
| π | Dynamic Programming (DP) | Fibonacci, knapsack, LIS, coin change |
π§ Tools to Practice JavaScript DSA
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LeetCode → https://leetcode.com
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HackerRank → https://hackerrank.com
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CodeStudio (by Coding Ninjas) → Has company-wise problems
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GeeksForGeeks DSA with JavaScript → https://www.geeksforgeeks.org/data-structures/
π Recommended Resources
| Type | Resource Name |
|---|---|
| Book | "Grokking Algorithms" by Aditya Bhargava (visual & JavaScript-friendly) |
| YouTube | “freeCodeCamp - Data Structures in JavaScript” (Full course) |
| Practice | LeetCode “Top Interview Questions” with JavaScript |
| Cheat Sheets | JavaScript DSA CheatSheet - GitHub |
✨ Bonus Tips
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Start easy (LeetCode Easy or HackerRank Easy)
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Use pen-paper for recursion and tree visualization
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Make your own notes or create flashcards
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Try to implement DSA visually using tools like VisuAlgo.net
π Example: Practice Plan (30 Days)
| Week | Focus |
|---|---|
| 1 | Arrays, Strings, Hash Maps |
| 2 | Recursion, Linked Lists |
| 3 | Stack, Queue, Trees |
| 4 | Graphs, Sorting, DP (intro) |
Would you like me to create a 30-day structured plan with problems and solutions using JavaScript?
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