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Data Structure Using Java

Data Structure Using Java

DATA STRUCTURE USING JAVA: Ever wondered how computers organize vast amounts of information efficiently? The answer lies in data structures - the building blocks for managing data in programs. By mastering data structures using Java, you'll unlock the power to:

  • Organize data efficiently: Learn proven methods to store and access information in a way that optimizes processing and retrieval.
  • Solve complex problems: Equip yourself with the tools to efficiently handle various programming challenges, improving the performance and functionality of your applications.

Lay the foundation for advanced programming: Gain a solid understanding of data structures, a crucial concept for exploring more advanced Java concepts and programming paradigms.

Saksham's Data Structures using Java course provides a structured and beginner- friendly approach, allowing you to:

  • Grasp fundamental data structures: Master essential structures like arrays, linked lists, stacks, queues, and trees, understanding their functionalities and applications.
  • Explore algorithms in action: Learn how data structures interact with algorithms, allowing you to efficiently manipulate and process data.
  • Apply your knowledge: Solidify your understanding through engaging exercises and real-world projects, building your skillset and portfolio.

Why Choose Data Structures with Java?

Investing in learning data structures with Java offers several compelling advantages:

  • Highly Demanded Skill: Mastering data structures is   a highly   sought-after skill across various industries, opening doors to exciting career opportunities.
  • Applicable in Many Programming Languages: The core principles learned in Java translate seamlessly to other programming languages, making you a more versatile and adaptable programmer.
  • Improves Problem-Solving Skills: Learn to think logically and efficiently, enhancing your problem-solving capabilities not only in programming but also in your overall approach to challenges.

Saksham's course offers a supportive learning environment:

  • Expert-Led   Video   Lectures: Gain   clarity    with concise    and    engaging videos delivered by experienced instructors.
  • Interactive Exercises and Projects: Practice your skills through challenging exercises and real-world projects, fostering your understanding and building your confidence.
  • Supportive Community: Connect and collaborate with fellow learners and instructors in a friendly and encouraging environment.

Unlock the power of data structures with Saksham! By enrolling in this course, you'll gain the essential knowledge and practical skills to efficiently manage data in your Java programs, setting yourself on a path to becoming a highly skilled and adaptable programmer.

Start your journey toward data mastery today! Enroll in Saksham's Data Structures using Java course!

Course Overview

Time complexity measures the amount of time an algorithm takes to complete in relation to the size of its input data.
  • Big O notation (O)
  • Theta notation (Θ)
  • Omega notation (Ω)
In Java, an array is a fundamental data structure used to store and manage a collection of elements of the same data type. It provides a way to group related values together under a single variable name, making it easier to work with multiple data items of the same type.
  • Introduction To Array
  • One Dimensional Primitive Array
  • One Dimensional Non-primitive
  • Multidimensional Primitive Array
  • Multidimensional Non-primitive Array
A linked list is a fundamental data structure in computer science and programming.
  • Introduction To Linkedlist
  • Implementation Of Linked List
  • Traversing in Linked List
  • Searching in Linked List
  • Insertion in Linked List
  • Deletion in Linked List
  • Reverse in Linked List
  • Circular Linked List
  • Doubly Linked List
In data structures, a stack is a linear data structure that follows the Last-In, First-Out (LIFO) principle. It is used to manage a collection of elements where the most recently added item is the first one to be removed. Here's a short description of a stack.
  • Stack Introduction
  • Array Implementation Of Stack
  • Push And Pop Operations On Stack
  • Reversal Of String
  • Applications Of Stack
  • Linked Implementation Of Stack
  • Balanced Bracket Problem
  • Evaluating The Postfix Expression
  • Infix To Postfix Conversion
In data structures, a queue is a linear data structure that follows the First-In, First-Out (FIFO) principle.
  • Introduction To Queue
  • Linked Implementation Of Queue
  • Array Implementation Of Queue
  • Types Of Queues
  • Circular Queue
  • Priority Queue
  • Dequeue
A Tree is a hierarchical data structure that consists of nodes connected by edges.
  • Introduction To Various Tree
  • Binary Tree
  • Binary Search Tree
  • Strict Binary Tree
  • Complete Binary Tree
  • Extended Binary Tree
  • Balanced Tree
  • Binary search tree
  • Traversal in Binary Search Tree
  • Preorder Traversal
  • Inorder Traversal
  • Postorder Traversal
  • Spanning tree
  • Minimum spanning tree
In data structures, a graph is a collection of nodes or vertices connected by edges. Graphs are versatile data structures that can model various relationships and scenarios. They are commonly used in computer science and related fields to represent networks, social connections, transportation systems, and more. Graphs are classified into different types based on their characteristics.
  • Introduction to Graph
  • Directed Graph
  • Undirected Graph
  • Traversal in Graph
  • Implementation of Graph
  • Depth First Search
  • Breadth First Search
  • Dijkstra(Shortest Path Algorithm )
Sorting is a fundamental operation in computer science and data structures that involves arranging elements in a specific order. The order can be ascending or descending, and the sorting process is crucial for efficient searching, retrieval, and manipulation of data. Various sorting algorithms are designed to achieve this task, and their performance characteristics may vary based on the type of input data.
  • sorting Techniques and algorithms
  • Bubble Sort
  • Selection sort
  • Insertion sort
  • Quick sort
  • Merge sort
Searching is a fundamental operation in computer science and data structures, involving the process of finding a specific element or determining the presence of a target within a dataset. Different searching algorithms are designed for various types of data structures, and the choice of algorithm depends on factors such as the nature of the data and the efficiency requirements.
  • Linear Search
  • Binary Search
  • Hashing