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Data Structure & Algorithm using Java Training

DSA using Java Training

This DSA using Java training program is designed to build a strong foundation in data structures and algorithms while enhancing Java programming skills for problem-solving and interview preparation.

The course covers essential Java topics such as Control Statements, OOPs, Exception Handling, Strings, Arrays & Collections to support the implementation of DSA concepts like Linked Lists, Stacks, Queues, Trees, Graphs, and Sorting Algorithms using Java.

Learners will work on real-time coding problems in Java to strengthen logic-building skills and boost their confidence for competitive programming, technical interviews, and software development roles. This course is ideal for beginners and career changers, offering hands-on practice, expert mentorship, and internship opportunities to build a job-ready skill set.

Online Live Training (Platform - Zoom)
Logical Thinking & Problem Solving
LeetCode & Interview Coding Practice
Offline Training Available (Location - Zirakpur)
Placement-Oriented Training
ISO Certificate
Industry Experts
Mock Interviews
Hands on Coding
Resume Building
Interview Preparation
Placement Support

Program Structure

Data Structure & Algorithm Module

  • 1.1   What is DSA? Complete Introduction for Beginners
  • 1.2   Time and Space Complexity Explanation
  • 1.3   Rules to find Function Expression [ f(n) ] of any Algorithm
  • 1.4   Asymptotic Notations – Big O, Big Omega, Big Theta
  • 1.5   How to find Time Complexity of any Algorithm
  • 1.6   Best, Worst, and Average Case Analysis

  • 2.1   Array Logical Programs (20+)
  • 2.2   Array algorithms
    • 2.2.1 Searching Algorithm
      • Linear Search
      • Binary Search
    • 2.2.2 Sorting Algorithm
      • Bubble Sort
      • Selection Sort
      • Insertion Sort
      • Merge Sort
      • Quick Sort
      • Heap Sort
  • 2.3   Techniques
    • Two Pointer Technique
    • Sliding Window Technique
    • Prefix Sum
    • Kadane's Algorithm

  • 3.1   String Manipulation
  • 3.2   Substrings, Palindromes
  • 3.3   Anagram, Isomorphic Strings
  • 3.4   Character Frequency
  • 3.5   Pattern Matching (basic)

  • 4.1   ArrayList
    • 4.1.1   Dynamic arrays
    • 4.1.2   Use cases in real-world
  • 4.2   LinkedList
    • 4.2.1   Singly Linked List
    • 4.2.2   Doubly Linked List
    • 4.2.3   Insertion/Deletion at head/tail
    • 4.2.4   Reverse a LinkedList
    • 4.2.5   Find middle, detect loop (Floyd’s Cycle)
    • 4.2.6   Merge two sorted linked lists

  • 5.1   Stack Using Array and LinkedList
  • 5.2   Infix → Postfix/Prefix
  • 5.3   Valid Parentheses
  • 5.4   Next Greater Element
  • 5.5   Stock Span Problem
  • 5.6   Min Stack
  • 5.7   Simple Queue (Using Array/LinkedList)
  • 5.8   Circular Queue
  • 5.9   Deque (Double-Ended Queue)
  • 5.10   Priority Queue (Min-Heap & Max-Heap)
  • 5.11   Sliding Window Maximum

  • 6.1   Count frequency of elements
  • 6.2   Two Sum Problem
  • 6.3   Subarrays with given sum
  • 6.4   Detect duplicates
  • 6.5   HashSet for unique elements
  • 6.6   HashMap vs TreeMap vs LinkedHashMap

  • 7.1   Binary Tree Basics
  • 7.2   Tree Traversals
    • 7.2.1   Inorder, Preorder, Postorder (DFS)
    • 7.2.2   Level Order (BFS)
  • 7.3   Height, Diameter of Tree
  • 7.4   Balanced Tree Check
  • 7.5   Mirror Tree
  • 7.6   Lowest Common Ancestor (LCA)
  • 7.7   Binary Search Tree (BST) Basics
  • 7.8   Insertion, Deletion, Search in BST
  • 7.9   Validate a BST
  • 7.10   Floor and Ceil in BST
  • 7.11   Kth Smallest / Largest Element in BST

  • 8.1   Min-Heap & Max-Heap
  • 8.2   Heapify
  • 8.3   Insert/Delete in Heap
  • 8.4   K largest/smallest elements
  • 8.5   Median of a stream

  • 9.1   Graph Representation (Adjacency List/Matrix)
  • 9.2   DFS & BFS
  • 9.3   Cycle Detection
  • 9.3   Connected Components
  • 9.3   Topological Sort
  • 9.3   Dijkstra’s Algorithm (Shortest Path)
  • 9.3   Union-Find / Disjoint Set

  • 10.1   Insertion, Search, Deletion
  • 10.2   Auto-complete
  • 10.3   Prefix search
  • 10.3   Count distinct substrings

  • 11.1   Basic Recursion: factorial, fibonacci, power
  • 11.2   Backtracking:
    • 11.2.1   N-Queens Problem
    • 11.2.2   Sudoku Solver
    • 11.2.3   Subsets / Combinations / Permutations
  • 11.3   Divide and Conquer:
    • 11.3.1   Merge Sort
    • 11.3.2   Quick Sort
    • 11.3.3   Binary Search
    • 11.3.4   Closest Pair of Points

  • 12.1   Activity Selection
  • 12.2   Fractional Knapsack
  • 12.3   Job Sequencing
  • 12.4   Huffman Encoding

  • 13.1   Memoization vs Tabulation
  • 13.2   Fibonacci
  • 13.3   0/1 Knapsack
  • 13.3   Longest Common Subsequence (LCS)
  • 13.3   Longest Increasing Subsequence (LIS)
  • 13.3   Subset Sum
  • 13.3   Coin Change

  • 14.1   Leetcode Patterns
  • 14.2   Codeforces/CodeChef Practice
  • 14.3   Solve 100+ questions by category (array, string, tree, etc.)

Ready to Start Your "DSA using Java" Journey?

Join thousands of successful students who have transformed their careers
with our DSA using Java Course.

📘
Comprehensive Curriculum

100+ hours of content covering all essential Java & DSA concepts

🎖️
ISO Certificate

Get ISO-Certified Training to boost your resume

👨‍🏫
Expert Guidance

Learn from an instructor with 13+ years of industry experience

Mock Interviews

Practice with real-time questions to boost your interview confidence

Need more details or career guidance ?

  Student Reviews

Frequently Asked Questions

Absolutely yes! This batch is designed for beginners. You only need to have a basic understanding of Core Java concepts like Control Statements and OOP's.
Deep or advanced knowledge of Java is not required. We’ll start from the basics and gradually build your logic and DSA skills step-by-step, making it easy to follow even if you’re new to coding.

This course covers whole Data Structures & Algorithms (DSA) topics completely.
You’ll learn topics like arrays, strings, linked lists, stacks, trees, sorting, searching, recursion, and more — all explained with real-world examples and interview-focused problems.

Yes, definitely! The course is specially designed to help you prepare for coding rounds in product-based and service-based companies.
You’ll solve interview-level DSA questions and learn problem-solving strategies that are frequently asked in placement interviews.

Yes! We help you become placement-ready with:
Mock Interviews (Java + DSA)
Resume & GitHub profile guidance
Doubt-solving support even after course ends
Internship & job referrals (based on your performance)

You can apply for roles like:
Java Developer
Backend Developer (Java)
Software Engineer (Java + DSA)
Intern or Trainee Developer

This course also builds a strong base for future learning like Java Full Stack or Android Development.

Yes! Every session is recorded, and recordings are shared with you after each class.
You’ll also get access to all PDFs and practice problems so you can revise anytime.

You can join by:
Clicking the "Register Now" button on this page
• Or, contacting us via WhatsApp or Call: +91 62838-30308 / +91 98887-55565

We'll also provide a demo session link and explain everything in detail before you join.

🔴 "DSA using Java" Live Batches Starting from 15th September, 2025.... Click Here to Read More ✨