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Course Overview:

This course is designed to teach core data structures and algorithms using JavaScript in a step-by-step and practical way. Whether you’re preparing for web development, interviews, or competitive coding, this course will help you write efficient and optimized JS code. It starts with JavaScript essentials and builds up to advanced DSA topics with clear real-world applications.

Way of Training:
  • Mode: Online / Offline
  • Duration: 45 Days
  • Online Sessions: 1 Hour/Day
  • Offline Sessions: 1 Hour Theory + 1 Hour Lab/Practical

Data Structures and Algorithms Using JavaScript

Course Fee:
  • Online Mode: 3999/- only
  • Offline Mode: 4999/- only
Includes:
  • Live or recorded session access
  • Daily assignments and real-time problem-solving
  • JS notebook-style exercises and dry-run files
  • Mini project using DSA and DOM
  • Interview Q&A and browser-based logic practice
  • Doubt-solving Telegram/WhatsApp support
Instructor Video :
About the Course:

JavaScript is not only for frontend but also widely used in backend (Node.js), DSA interviews, and test automation. This course helps you use JavaScript to implement logic structures, manipulate data, and solve algorithmic problems with confidence. Learn through code, debug with browser dev tools, and master DSA with hands-on learning.

Job Roles After Learning JS DSA:
  • Frontend Developer with strong logic
  • MERN/MEAN Stack Developer
  • JavaScript-based Game or App Developer
  • Placement-ready student for product companies
  • Coding Interview preparation with JS
Importance of JavaScript in DSA:
  • JavaScript is supported in almost all online coding platforms
  • Great for browser-based and real-time application logic
  • Builds strong foundation for React, Angular, and Node.js
  • Easier to debug and visualize using browser tools
  • Helps in developing logic-based UI features and DOM operations

Course Content

Module 1: JavaScript Basics for DSA
  • Variables (var, let, const), datatypes
  • Functions (declaration, expression, arrow)
  • If-else, loops, switch, dry-run tracing
  • Arrays, strings, and objects overview
  • Time complexity and Big O notation
  • Array methods: push, pop, shift, unshift, splice
  • Search, insert, delete, traverse
  • Linear and binary search
  • Sort built-in and manual implementation
  • Mini Task: Student result manager using array
  • String properties and methods
  • Reverse, palindrome, word count, substring
  • Character frequency count
  • Manual implementation of split, trim
  • Mini Program: String-based login validator
  • Bubble, selection, insertion sort
  • Merge sort and quick sort using recursion
  • Compare sort speeds with timers
  • Sort array of objects (students, products)
  • Mini Task: E-commerce product sorter
  • Understanding call stack
  • Fibonacci, factorial, sum of digits
  • Backtracking basics
  • Print all subsets, combinations
  • Dry-run with console logs
  • Using array as stack
  • Push, pop, peek, size
  • Valid parentheses checker
  • Infix to postfix expression
  • Mini Task: Browser history simulator
  • Queue using array and custom object
  • Enqueue, dequeue, peek
  • Circular queue logic using modulus
  • Priority queue logic (intro level)
  • Mini Task: Ticketing system queue
  • Node creation using object
  • Singly linked list: insert, delete, display
  • Doubly linked list logic
  • Linked list using class
  • Mini Task: Playlist navigator
  • Binary tree: insert, traverse
  • BST insert, search, delete
  • Inorder, preorder, postorder traversal
  • Leaf count, height, mirror
  • Mini Project: Comment structure builder

 

  • Adjacency list using object of arrays
  • DFS and BFS with visited tracking
  • Detect cycle
  • Shortest path using BFS
  • Mini Project: City map routing
  • JS object as hash table
  • Set, Map, WeakMap, WeakSet
  • Handling collisions with chaining
  • Mini Program: Employee login system with Map

 

  • Coin change
  • Activity selection
  • Job sequencing
  • Fractional knapsack
  • Dry-run with console output
  • Fibonacci with memoization
  • 0/1 Knapsack
  • Longest common subsequence (LCS)
  • Optimal game strategy
  • Mini Task: Game decision maker
  • Project Title: College Record System
  • Add/edit/delete/search/sort student data
  • Use of arrays, object, sort, map
  • Save using browser localStorage
  • DOM menu and alert-based UI
Top 10 Interview Questions
  1. How is array different from object in JavaScript?
  2. What is recursion and how does it work in JS?
  3. Explain the difference between BFS and DFS.
  4. How do you implement a stack using array in JS?
  5. What is memoization and how is it used in JS?
  6. How do you sort an array of objects?
  7. What is a hash map and how does JavaScript handle it?
  8. How does JavaScript handle call stack during recursion?
  9. What is the difference between set and map in JS?
  10. Explain a real-world example of a graph problem in JS.
Why Join Techidz for JS DSA?
  • Every concept explained using browser tools and live code
  • Focus on hands-on logic building, not just theory
  • Real-time DOM-based DSA applications
  • JS syntax made easy with dry-run visualization
  • Perfect for frontend and full-stack developers
  • Practice sets and mini projects for every topic
New & Special Features in Techidz JS DSA Course
  • Live coding sessions + DOM visual trace
  • 100+ programs implemented using JS
  • Mini project and competitive coding set
  • Browser-based practice with feedback
  • Interview prep pack + project kit
  • Lifetime video access and support group
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