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Data Structures in Java Training Courses

“Java Data Structure Courses – you will learn with hands on practice, in-class seminars, training and certification from the list of World’s finest trainers”. Below listed Education Institutes provides you course materials, tutorial curriculum, demo videos, sample questions, books, tips and tricks. Get Java Data Structure lectures by experts and practical lessons by instructors to improve your technical skills. Students will benefit with job placements and visa assistance in the United States.

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  • 1+
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  • 5+
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Key Highlights

  • Live or virtual instructor-led classes
  • Quality course material provided
  • Become a certified expert on the subject
  • Instant access to reference material
  • Get high-pay jobs offers post-training

Upcoming Instructor-Led Java Data Structure Class Date & Time as on September 20, 2025

Sep 22 2025
Oct 22 2025
Java Data Structure
Java Data Structure
Online Training,
$0.0000
IT Tutor PRO
Sep 23 2025
Oct 23 2025
Java Data Structure
Java Data Structure
Online Training,
$0.0000
IT Tutor PRO
Sep 24 2025
Oct 24 2025
Java Data Structure
Java Data Structure
Online Training,
$0.0000
IT Tutor PRO
Sep 25 2025
Oct 25 2025
Java Data Structure
Java Data Structure
Online Training,
$0.0000
IT Tutor PRO
Sep 26 2025
Oct 26 2025
Java Data Structure
Java Data Structure
Online Training,
$0.0000
IT Tutor PRO
1880,

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Java Data Structure

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Java / J2EE training modules

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About Java Data Structure training

  • What is Java Data Structure Training?

    Java data structure training is complicated and crucial for Java developers. Data structures are used to implement one or many abstract data types (ADT) that are used to specify the contract of different operations as well as their complexity. This course is designed to introduce some basic elements of data structure, such as arrays, stacks, linked lists trees, heaps and queues. It also includes algorithms like sorting algorithms, and other algorithms for the purpose of binary search trees, heaps and operations. The course covers recursion, use of animations and graphics, and makes lectures easier to understand and learn.

  • Advantages of Java Data Structure Training

    • The Java Data Structure Training is designed to provide intensive training to Java professionals and make sure they learn the tricks and tips of algorithms and arrays. There are some important features of data structure that should be clear to developers, and this training ensures the same.
    • It can increase overall program quality and speed. With the speed of data structures as well as algorithms, high-quality implementation is guaranteed. The different stages of implementation of every single interface have certain intricacies that can only be learnt through proper training.
    • Implementation techniques are vital for the success of data structures.  Concrete and perfect implementation of the interfaces is done using data structure, which is also a part of the training.
    • Most importantly, algorithms are crucial for data structure computation and implementation like sorting, searching and collection interfaces. Polymorphic algorithms are included in the course; the very same method can also be used on different implementations of appropriate collection interfaces.
  • Scope of Java Data Structure Training

    Java Data Structure Training can educate learners in various spheres of Java programming and data structure implementation. This training becomes essentially important for intensive use. It includes critical features of Java like Arrays, Collections, Interfaces and Inheritance, Lists, Maps, Sets, Queues and implementation of Java Collection Framework.

Java Data Structure syllabus

  • Data Structures

    • Introduction
    • Structured Representation
    • Statements and Control Structures
    • Abstract Data Types
    • Static Data Types
    • Dynamic Data Types
    • Arrays
    • Pointers
    • Linked List
    • Advanced Data Structures
    • Data Structure Representation
  • Stacks

    • Defining stack
    • Application of stack
    • Operations of stack
    • Stack implemented as an array
    • Stack implemented with pointers
    • Using Stacks to solve problems
  • Queues

    • Defining Queue
    • Application of Queue
    • Operation of Queue
    • Circular Queue
    • Priority Queue
    • Double Ended Queue
    • Queue implemented with Pointers
    • Differences between Stacks and Queues
  • Linked List

    • Introduction
    • Advantages of Linked List over an Array
    • Application of Linked List
    • Types of Linked Lists
    • Singly Linked Lists
    • Operation of Singly Linked Lists
    • Doubly Linked Lists
    • Operations on Doubly Linked Lists
    • Circular Linked Lists
    • Circular Double Linked Lists
    • Uses of Linked Lists
  • Trees

    • Introduction
    • Binary Trees
    • Implementation of Binary Trees
    • Insertion into a Binary Tree
    • Binary Tree Deletion
    • Traversing a Binary Tree
    • Binary Height Balanced Trees
  • Graphs

    • Introduction
    • Types of Graphs
    • Various Representation of Graphs
    • Application of Graphs
    • Graph Traversals
  • Sorting Techniques

    • Introduction
    • Bubble Sort
    • Selection Sort
    • Quick Sort
    • Merge Sort
    • Iterative Merge Sort
    • Introduction to Heap
    • Heap Operations
    • Heap Sort
  • Searching Techniques

    • Introduction
    • Linear Search
    • Binary Search

FAQ's on Java Data Structure training & certification

About our Java Data Structure course

Join us for an enlightening journey through the Java Data Structure course. We've designed this course to help you master the fundamental and advanced concepts of data structures using Java. This course is a perfect blend of theoretical knowledge and practical applications.

Overview of our Java Data Structure Training

The training is meticulously planned to take you from basics to the most advanced concepts. Our expert trainers will guide you through each topic with practical examples and exercises. You will gain hands-on experience with the various data structures and algorithms that make Java so powerful.

Objectives of our Java Data Structure training course

The primary objective of our training program is to equip you with crucial skills to implement data structures using Java. We aim to make you confident enough to solve complex problems and build robust applications using Java.

What you will learn in our Java Data Structure classes

  • Understanding and implementing various data structures in Java.
  • Mastering the use of Java Collections Framework.
  • Applying appropriate data structures to solve programming challenges.
  • Implementing algorithms for data structure operations.
  • Practical application of data structures in real-world scenarios.
  • Enhancing problem-solving and coding skills.

Course details

Course Duration: 6 Weeks; Level: Beginner to Advanced; Prerequisites: Basic understanding of Java programming; Certification: Yes, upon successful completion of the course.

Course Syllabus

  • Module 1: Introduction to Data Structures
    • Understand the basics of data structures.
    • Learn the importance of data structures.
    • Get introduced to various types of data structures.
    • Learn the basic operations on data structures.
    • Understand the real-world applications of data structures.
  • Module 2: Java Collections Framework
    • Understand the Java Collections Framework.
    • Learn to use various interfaces and classes in the Collections Framework.
    • Get hands-on experience with Collections Framework through exercises.
    • Understand the best practices of using Collections Framework.
  • Module 3: Advanced Data Structures
    • Learn about advanced data structures like trees and graphs.
    • Implement these data structures using Java.
    • Understand the use-cases of these data structures.
    • Master the operations on these data structures.
  • Module 4: Algorithms for Data Structures
    • Get introduced to algorithms for operations on data structures.
    • Understand the complexity of these algorithms.
    • Learn to choose the right algorithm for a problem.
    • Get hands-on experience with these algorithms through exercises.

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