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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
Hands on Coding
LeetCode Problems
Resume Building
Mock Interview
Placement Support

Program Structure

Data Structure & Algorithm Module

  • 1.1   What is DSA? Complete Introduction for Beginners
  • 1.2   Time & Space Complexity Explained with Examples
  • 1.3   Rules to find Function Expression [ f(n) ] of any Algorithm
  • 1.4   Asymptotic Notations – Big O, Big Ω, Big Θ
  • 1.5   How to find Time Complexity of any Algorithm
  • 1.6   Best, Worst & Average Case Analysis
  • 1.7   Analyze real LeetCode problems based on complexity

  • 2.1   Array Logical Programs (20+)
  • 2.2   Searching Algorithms
    • Linear Search
    • Binary Search (Iterative & Recursive)
  • 2.3   Sorting Algorithms
    • Bubble Sort
    • Selection Sort
    • Insertion Sort
    • Merge Sort
    • Quick Sort
    • Heap Sort

  • 3.1   Iterative Approach
  • 3.2   Brute Force Approach
  • 3.3   Prefix Sum Technique
  • 3.4   Suffix Sum Technique
  • 3.5   Two Pointer Technique
  • 3.6   Sliding Window Technique
  • 3.7   Kadane’s Algorithm (Maximum Subarray Sum)
  • 3.8   LeetCode Practice: Two Sum, Move Zeroes, Max Subarray

  • 4.1   String Manipulation (Reverse, Compare, Transform)
  • 4.2   Substrings & Palindromes
  • 4.3   Anagrams & Isomorphic Strings
  • 4.4   Character Frequency using HashMap
  • 4.5   Pattern Matching (Basic)
  • 4.6   LeetCode Practice: Valid Anagram, Longest Palindrome, Is Subsequence

  • 5.1   ArrayList
    • Dynamic Arrays and Resizing
    • Use Cases in Real-World
  • 5.2   LinkedList
    • Singly & Doubly Linked Lists
    • Insertion/Deletion at Head/Tail
    • Reverse a LinkedList
    • Find Middle, Detect Loop (Floyd’s Cycle)
    • Merge Two Sorted LinkedLists
  • 5.3   LeetCode Practice: Reverse Linked List, Detect Cycle, Merge Lists

  • 6.1   Stack using Array / LinkedList
  • 6.2   Infix → Postfix / Prefix Conversion
  • 6.3   Valid Parentheses Problem
  • 6.4   Next Greater Element
  • 6.5   Stock Span Problem
  • 6.6   Min Stack Implementation
  • 6.7   Queue, Circular Queue, Deque
  • 6.8   Priority Queue (Min / Max Heap)
  • 6.9   Sliding Window Maximum
  • 6.10   LeetCode Practice: Min Stack, Next Greater Element, Sliding Window Max

  • 7.1   Count Frequency of Elements
  • 7.2   Two Sum Problem
  • 7.3   Subarrays with Given Sum
  • 7.4   Detect Duplicates
  • 7.5   HashSet for Unique Elements
  • 7.6   HashMap vs TreeMap vs LinkedHashMap
  • 7.7   LeetCode Practice: Two Sum, Longest Substring Without Repeat

  • 8.1   Binary Tree Basics & Node Creation
  • 8.2   Tree Traversals
    • Inorder, Preorder, Postorder (DFS)
    • Level Order (BFS)
  • 8.3   Height & Diameter of a Tree
  • 8.4   Balanced Tree Check
  • 8.5   Mirror Tree
  • 8.6   Lowest Common Ancestor (LCA)
  • 8.7   BST Operations – Insertion, Deletion, Search
  • 8.8   Validate BST, Floor/Ceil, Kth Smallest/Largest
  • 8.9   LeetCode Practice: Validate BST, LCA, Diameter of Tree

  • 9.1   Min-Heap & Max-Heap
  • 9.2   Heapify and Heap Operations
  • 9.3   Insert/Delete in Heap
  • 9.4   K Largest/Smallest Elements
  • 9.5   Median of a Stream
  • 9.6   LeetCode Practice: Top K Elements, Kth Largest Element

  • 10.1   Graph Representation (Adjacency List/Matrix)
  • 10.2   DFS & BFS Traversal
  • 10.3   Cycle Detection
  • 10.4   Dijkstra’s Algorithm (Shortest Path)
  • 10.5   Union-Find / Disjoint Set
  • 10.6   LeetCode Practice: Number of Islands, Graph Valid Tree

  • 11.1   Insertion, Search & Deletion
  • 11.2   Auto-complete Feature
  • 11.3   Prefix Search
  • 11.4   Count Distinct Substrings
  • 11.5   LeetCode Practice: Implement Trie, Replace Words

  • 12.1   Basic Recursion – Factorial, Fibonacci, Power
  • 12.2   Backtracking Problems
    • N-Queens Problem
    • Sudoku Solver
    • Subsets, Combinations, Permutations
  • 12.3   Divide & Conquer
    • Merge Sort
    • Quick Sort
    • Binary Search
    • Closest Pair of Points
  • 12.4   LeetCode Practice: Subsets, Permutations, N-Queens

  • 13.1   Activity Selection
  • 13.2   Fractional Knapsack
  • 13.3   Job Sequencing
  • 13.4   Huffman Encoding
  • 13.5   LeetCode Practice: Jump Game, Gas Station

  • 14.1   Memoization vs Tabulation
  • 14.2   Fibonacci (DP Approach)
  • 14.3   0/1 Knapsack
  • 14.4   Longest Common Subsequence (LCS)
  • 14.5   Longest Increasing Subsequence (LIS)
  • 14.6   Subset Sum
  • 14.7   Coin Change
  • 14.8   LeetCode Practice: LCS, LIS, Coin Change, 0/1 Knapsack

  • 15.1   Pattern-Based LeetCode Problem Solving
  • 15.2   Mastering 2-Pointer & Sliding Window
  • 15.3   Recursion + Backtracking Patterns
  • 15.4   Interview Preparation Strategy
  • 15.5   Mock Tests & Real LeetCode Contests

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.

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