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Why Learn DSA with Java and JavaScript?
Dual Language Mastery
Learn how to implement data structures and algorithms in both Java and JavaScript – giving you an edge in full-stack development.
Crack Interviews
Prepare for technical interviews at companies like Google, Amazon, Microsoft, and more with real-world problems and mock test patterns.
Real-World Applications
Understand how DSA principles are used in frontend performance optimization, backend logic, and scalable applications.
Master Data Structures and Algorithms with Java and JavaScript
Are you ready to elevate your coding skills and crack top tech interviews? Welcome to our specialized DSA (Data Structures and Algorithms) with Java and JavaScript course – the perfect launchpad for both beginners and intermediate programmers. Whether you’re preparing for FAANG interviews, looking to optimize your problem-solving skills, or simply want to deepen your understanding of core programming concepts, this course offers everything you need.
In today’s tech-driven world, having a strong grip on DSA is essential for becoming a successful software developer. With the perfect combination of Java (a powerful, object-oriented programming language) and JavaScript (the language of the web), this course bridges backend and frontend knowledge while solidifying your algorithmic thinking.
Tools & Platforms Used
Java IDEs: IntelliJ IDEA, Eclipse
JavaScript Platforms: Node.js, Browser Console, CodePen
Online Judges: LeetCode, HackerRank, Codeforces, GeeksForGeeks
Version Control: Git and GitHub
Project Management: Trello, Notion
Capstone Projects
Mini Code Editor (JS) – Build your own online code playground with stack evaluation logic.
To-Do App with Undo Feature – Using stack and queue logic in JavaScript.
Job Scheduler (Java) – Using heaps and priority queues.
Social Network Graph Analysis – BFS/DFS implementation with JavaScript visuals.
Who Can Take This Course?
Computer Science students and graduates
Aspiring web developers and full-stack engineers
Job seekers preparing for technical interviews
Self-taught programmers looking to solidify their DSA foundation
Anyone with basic Java or JavaScript knowledge wanting to go to the next level.
Student Trained
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Placements
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Entreprenuers Helped
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Hours Of Teaching
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1-on-1 Mentorship Sessions
Certification & Placement Assistance
Interview Preparation
Master Data Structures and Algorithms with Java and JavaScript
Start your journey toward becoming a DSA pro with hands-on implementation in both Java and JavaScript. Whether you dream of becoming a backend developer, a frontend wizard, or a full-stack engineer, this course will equip you with everything you need.
DSA with Java and Javascript Course Curriculum
What is DSA and why is it important?
Asymptotic analysis – Big O, Big Ω, and Big Θ notations
Time and space complexity
Introduction to Java and JavaScript environments (IDE setup and compilers)
How DSA differs across languages: Java vs JavaScript
In Java:
Array declaration, memory management, and looping
Multidimensional arrays
String operations and immutability
In JavaScript:
Array objects, methods (
push(),pop(),shift(),splice(), etc.)String manipulation using ES6 features
Problems Covered:
Reverse an array
Kadane’s Algorithm
Anagram detection
Rotate array
Two-pointer approach
Basics of recursion
Stack memory and recursion trees
Tail recursion optimization
Backtracking approach
Problems Covered:
Factorial, Fibonacci series
Tower of Hanoi
N-Queens problem
Sudoku solver
Java:
Singly and doubly linked lists
Circular linked lists
Node class and object references
JavaScript:
Simulating linked lists using objects and classes
Problems Covered:
Reverse a linked list
Detect loop using Floyd’s cycle
Merge two sorted lists
Intersection of linked lists
Stack and queue implementation using arrays and linked lists
Java collections: Stack, Queue, Deque
JavaScript stacks using arrays or linked lists
Problems Covered:
Balanced parentheses
Next greater element
LRU Cache implementation
Circular queue
Tree terminology and types
Binary Search Tree (BST)
Tree traversal: in-order, pre-order, post-order
Heap and priority queue
JavaScript objects to build trees
Problems Covered:
Level-order traversal
Height of binary tree
Lowest common ancestor
Serialize and deserialize a tree
HashMap and HashSet in Java
Map and Set in JavaScript
Handling collisions and load factor
Frequency counting and lookup optimization
Problems Covered:
Two-sum problem
Group anagrams
Subarray with 0 sum
Longest consecutive sequence
Representing graphs: adjacency list and matrix
BFS and DFS
Topological sort
Dijkstra’s algorithm
Cycle detection in directed and undirected graphs
Real-world Applications:
Social media friend suggestions
Network routing algorithms
Bubble, selection, insertion, merge, quick sort
Binary search and variations
Counting sort and radix sort
Time complexities comparison
Visualizing sorting in JavaScript (interactive projects)
Overlapping subproblems and optimal substructure
Top-down (memoization) and bottom-up (tabulation)
State transitions and recursive relations
Problems Covered:
0/1 Knapsack
Longest common subsequence
Matrix chain multiplication
Coin change
Solving real interview questions from Google, Meta, Amazon
Mock coding rounds with solutions in Java and JavaScript
System design fundamentals overview
Resume building tips and GitHub portfolio setup
“Software testing is a sport like hunting, it's bughunting.”
― Amit Kalantri
“JavaScript’s global scope is like a public toilet. You can’t avoid going in there, but try to limit your contact with surfaces when you do.”
― Dmitry Baranovskiy
“You’re building your own maze, in a way, and you might just get lost in it.”
― Marijn Haverbeke