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Data Structures and Algorithms (DSA) with Java

S&H HighTech Solutions presents an industry-leading Data Structures and Algorithms (DSA) with Java course designed to empower aspiring software developers and IT professionals with the essential skills needed for a competitive edge in today's technology landscape. ositioned as one of the best Java training programs in Govindpuri Kalkaji, New Delhi, S&H HighTech Solutions leverages its expert trainers and cutting-edge curriculum to deliver a comprehensive learning experience. The course is optimized for individuals seeking to enhance their problem-solving abilities using Java, with a strong focus on Java’s Collections Framework, memory management, and object-oriented design principles.

Course

4.9 (8084)

Learners

9000

Corporate Expert Trainer

Exp. 15+Yrs.

Upskill with

Internship

What’s included in this Course

3 months duration hands-on practice

Live project training

Interview Preparations

150+ Assignments

Online & Offline Training

500+ Questions for Exercise

Schedule Your Free Trial Class

  8130903525      8130805525

DSA with Java Certification

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This course is designed to provide comprehensive training in Data Structures and Algorithms using Java. It covers everything from basic programming concepts to advanced algorithm design, making it suitable for beginners, developers, and professionals looking to sharpen their problem-solving skills using Java.

Students will gain hands-on experience in managing data structures, algorithm analysis, and real-time problem solving. The course includes practical exercises, live projects, and case studies to build a strong foundation in Java-based DSA concepts.

Course Content Details

  • Introduction to Data Structures and Algorithms
  • Importance of DSA in Problem Solving & Interviews
  • Time and Space Complexity (Big-O, Big-Ξ©, Big-Θ)
  • How to Analyze Algorithms
  • Basics of Programming in Java
  • Input/Output Handling
  • Variables, Data Types, Operators, Loops, and Conditional Statements
  • Methods and Recursion (Call Stack, Tail Recursion)
  • Packages, Imports, and Java Compilation Process

  • Understanding Object References in Java
  • Memory Management and Garbage Collection
  • Understanding Memory Leaks in Java
  • Arrays and Object References
  • Passing Objects to Methods and Reference Semantics

  • 1D, 2D, and Multi-dimensional Arrays
  • Array Operations: Insertion, Deletion, Searching, Traversing
  • Sorting Algorithms:
    • Bubble Sort
    • Selection Sort
    • Insertion Sort
    • Merge Sort
    • Quick Sort
    • Counting Sort
    • Radix Sort
    • Heap Sort
  • Searching Algorithms:
    • Linear Search
    • Binary Search (Recursive and Iterative)
  • Strings:
    • Declaration and Manipulation
    • String Manipulation and Java String API
    • String Pattern Matching Algorithms (KMP, Rabin-Karp, Z-algorithm)

  • Singly Linked List
  • Doubly Linked List
  • Circular Linked List
  • Operations: Creation, Insertion, Deletion, Traversal, Reversal
  • Detecting and Removing Cycles (Floyd's Algorithm)
  • Intersection Point of Linked Lists
  • Merge Two Sorted Linked Lists
  • Copy a Linked List with Random Pointers

  • Stack Implementation (Using Arrays and Linked Lists)
  • Stack Applications:
    • Expression Evaluation (Infix, Prefix, Postfix)
    • Balanced Parentheses
    • Next Greater Element
  • Queue Implementation (Using Arrays and Linked Lists)
  • Types of Queues:
    • Circular Queue
    • Deque (Double-Ended Queue)
    • Priority Queue
  • Queue Applications:
    • Sliding Window Maximum
    • LRU Cache

  • Basics of Recursion
  • Tail vs. Non-Tail Recursion
  • Backtracking Concepts
  • Applications:
    • N-Queens Problem
    • Sudoku Solver
    • Subset Generation
    • Permutations
    • Rat in a Maze

  • Tree Terminology and Representations
  • Binary Tree and Binary Search Tree (BST)
  • Tree Traversals:
    • Inorder, Preorder, Postorder (Recursive and Iterative)
    • Level Order (BFS using Queue)
  • Binary Tree Operations (Insert, Delete, Search)
  • Height, Diameter, Leaf Count, Balanced Tree
  • Mirror Tree, LCA (Lowest Common Ancestor)
  • AVL Trees, Red-Black Trees (Concepts and Rotations)
  • Segment Trees and Fenwick Trees (Binary Indexed Tree)

  • Heap (Min-Heap, Max-Heap) and Heap Operations
  • Heapify and Build Heap
  • Heap Sort
  • Priority Queue using Java Collections
  • Hashing Concepts:
    • Hash Functions and Collision Resolution
    • Open Addressing, Chaining
    • Hash Tables in Java (HashMap, HashSet)
  • Applications of Hashing:
    • Frequency Count
    • Subarray with Zero Sum
    • Anagram Grouping

  • Graph Representations (Adjacency Matrix and List)
  • BFS and DFS (Iterative and Recursive)
  • Topological Sorting
  • Connected Components
  • Detecting Cycles (Directed and Undirected Graphs)
  • Dijkstra’s Algorithm
  • Bellman-Ford Algorithm
  • Floyd-Warshall Algorithm
  • Minimum Spanning Tree:
    • Kruskal’s Algorithm
    • Prim’s Algorithm
  • Disjoint Set Union (Union by Rank, Path Compression)

  • Introduction to DP and Memoization
  • Recursion vs Memoization vs Tabulation
  • 1D, 2D DP Concepts
  • Classic DP Problems:
    • Fibonacci Series
    • 0/1 Knapsack
    • Coin Change
    • Longest Common Subsequence (LCS)
    • Longest Increasing Subsequence (LIS)
    • Matrix Chain Multiplication
    • Palindromic Substrings
    • Edit Distance

  • Activity Selection Problem
  • Fractional Knapsack
  • Huffman Encoding
  • Minimum Number of Platforms
  • Job Sequencing with Deadlines
  • Interval Scheduling

  • Bitwise Operators and Masks
  • Odd/Even using Bitwise
  • Counting Set Bits
  • Power of Two
  • XOR Trick
  • Subset Generation using Bits

  • Fixed and Variable Size Sliding Windows
  • Maximum Sum Subarray
  • Longest Substring with K Unique Characters
  • Minimum Window Substring
  • Two Pointer Techniques on Arrays and Strings

  • Trie Implementation in Java
  • Insert, Search, Delete Words
  • Auto-complete System
  • Trie with Map
  • Suffix Trees and Arrays (Intro Only)
  • Disjoint Set (Union-Find)
  • Segment Trees (with Lazy Propagation)

  • Introduction to Java Collections Framework
  • ArrayList, LinkedList, Deque, Stack, Queue
  • Set, Map and their Implementations
  • Algorithms Library: sort, binarySearch, etc.
  • OOP in Java:
    • Classes and Objects
    • Constructors and Destructors (Finalize Method)
    • Inheritance, Polymorphism, Encapsulation
    • Method Overloading and Overriding
    • Generics in Java

  • Building mini DSA Projects:
    • Contact Manager using Trie
    • Mini Search Engine
    • Task Scheduler using Queue/Heap
  • Live Coding Practice:
    • 200+ DSA Problems from LeetCode, HackerRank, GFG
    • Interview-style problem-solving
    • Weekly mock coding rounds

  • Resume Tips for DSA-based Profiles
  • HR and Technical Interview Questions
  • Problem-Solving Strategies
  • Whiteboard Coding Round Preparation
  • Top 50 Coding Questions for FAANG & Product Companies

At HighTech Solutions Best IT Company & Training Institute, our Placement Assistance Program ensures that our students get placed in top IT companies with attractive salary packages.

Our Alumni Work In-

Entry-Level

0-2 years

πŸ’° β‚Ή3-6 LPA

Mid-Level

2-5 years

πŸ’° β‚Ή6-12 LPA

Senior-Level1

5-10 years

πŸ’° β‚Ή12-18 LPA

Senior-Level2

10-20 years

πŸ’° β‚Ή18-24 LPA

Management-Level

20+ years

πŸ’° β‚Ή25+ LPA

International

Global Opportunities

πŸ’° $80K - $150K per year

Internship Programs

Paid/Unpaid

πŸ’° 8k-15k/Month

Freelancing

Effort Basis

πŸ’° Hourly Payments

HighTech Solutions, based in Delhi NCR, offers a variety of IT courses designed to enhance the skills of both beginners and seasoned professionals. While specific salary packages for IT professionals associated with HighTech Solutions are not publicly disclosed, copmleting their industry-recognized training programs can significantly boost your earning potential in the IT sector.

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