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Data Structures & Algorithms using Java

Course Overview

The Data Structures & Algorithms using Java course is designed to provide participants with a comprehensive understanding of fundamental data structures and algorithms, implemented using the Java programming language. This course focuses on the principles of organizing and manipulating data efficiently, as well as developing algorithms for problem-solving. Mastery of data structures and algorithms is essential for building optimized and scalable software solutions.

Learn software skills with real experts, either in live classes with videos or without videos, whichever suits you best.

Description

This course begins with an introduction to basic concepts of data structures, covering arrays, linked lists, stacks, queues, trees, and graphs. Participants will learn algorithmic techniques such as searching, sorting, and recursive algorithms. The course emphasizes the implementation of these data structures and algorithms in Java, a versatile and widely-used programming language. Real-world examples and problem-solving exercises will be used to reinforce theoretical concepts.

Course Objectives

The primary objectives of the Data Structures & Algorithms using Java course are as follows:

  1. Fundamental Data Structures: Provide a thorough understanding of fundamental data structures, including arrays, linked lists, stacks, and queues.
  2. Trees and Graphs: Cover tree structures, including binary trees and balanced trees, as well as graph structures for representing relationships between data elements.
  3. Algorithmic Techniques: Introduce algorithmic techniques for searching, sorting, and traversal of data structures.
  4. Complexity Analysis: Teach participants how to analyze the time and space complexity of algorithms for evaluating their efficiency.
  5. Dynamic Programming: Explore dynamic programming as an algorithmic paradigm for solving optimization problems.
  6. Recursion: Cover recursive algorithms and their applications in problem-solving.
  7. Hashing: Introduce hashing techniques and their application in data retrieval.
  8. Graph Algorithms: Explore graph algorithms, including depth-first search (DFS) and breadth-first search (BFS).
  9. Problem-Solving Skills: Enhance problem-solving skills by applying data structures and algorithms to real-world scenarios.
  10. Java Programming Integration: Emphasize the implementation of data structures and algorithms using the Java programming language.

Prerequisites
    • Basic understanding of Java programming language.
    • Familiarity with object-oriented programming (OOP) concepts.
    • Knowledge of basic data types (e.g., integers, strings).
    • Understanding of control flow statements (e.g., loops, conditionals).
    • Awareness of arrays and collections (e.g., ArrayList, HashMap).
    • Experience with using and navigating Integrated Development Environments (IDEs).
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Course Curriculum

  • Introduction to Time and Space Complexity
    • Analysis of Algorithms
    • Time and Space Complexity notations
    • Why Big O dominates other notations
    • Standard categories of measuring the complexity
    • Graph representation of standard categories
    • Graph representation of standard categories
    • Counting the no. of operations in an algorithm/code
    • Role of constant terms in measuring the complexity
    • Methods of measuring the runtime of algorithm
    • Measuring auxiliary space requirements
    • Find the Time & Space Complexity of given code snippets
  • Discussion of solutions to problems from Competitive Programming platforms
  • Discussion of solutions to interview questions

  • Introduction to Arrays
  • Types for Arrays
  • Introduction to 1-D Arrays
  • Operations on 1-D Arrays
  • Frequency Array Technique
  • Two Pointers Technique
  • Sliding Window Technique
  • Prefix/Postfix Sum approach
  • Solving problems on Ranges
  • Introduction to 2-D Arrays
  • Operations on 2-D Arrays
  • Discussion of solutions to problems from Competitive Programming platforms
  • Discussion of solutions to problems from Competitive Programming platforms
  • Discussion of solutions to interview questions

  • Introduction to Recursion
  • Need of recursion
  • How recursion works
  • Recursion vs Iteration
  • Building the base conditions
  • Types of Recursion with examples
  • Introduction to Divide & Conquer(D&C) techniquec
  • Discussion of solutions to problems from Competitive Programming platforms
  • Discussion of solutions to interview questions

  • Introduction to Searching & Sorting
  • Need for Searching & Sorting
  • Linear search
  • Binary search
  • Sorting techniques
    • Selection sort
    • Bubble sort
    • Insertion sort
    • Shell sort
    • Merge Sort
    • Quick Sort
  • Discussion of solutions to problems from Competitive Programming platforms
  • Discussion of solutions to interview questions

  • Introduction to Self-referential objects
  • Linked Lists – Terminology
  • Types of Linked Lists
  • Representation of Linked Lists
  • Single Linked List
  • Circular Single Linked List
  • Double Linked List
  • Circular Double Linked List
  • Operations on Linked Lists
  • Floyd’s Algorithm & Problems
  • Discussion of solutions to problems from Competitive Programming platforms
  • Discussion of solutions to interview questions

  • Concept of Stack
  • Examples of Stack
  • Preliminary operations on Stack
  • Stack implementation
  • Implementation of two Stacks in Array
  • Introduction to Infix, Postfix and Prefix expressions
  • Limitation of Infix representation
  • Applications of Stack
  • Concept of Queue
  • Examples of Queue
  • Preliminary operations on Queue
  • Types of Queues
  • Queue using Stacks – Implementation
  • Applications of Queues
  • Discussion of solutions to problems from Competitive Programming platforms
  • Discussion of solutions to interview questions
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Who can learn this course

This course is suitable for a diverse range of individuals, including:

  1. Programmers and Developers: Professionals aiming to strengthen their foundation in data structures and algorithms using Java.
  2. Java Developers: Individuals looking to deepen their understanding of efficient data organization and algorithmic problem-solving within the Java ecosystem.
  3. Computer Science Students: Students pursuing degrees in computer science or related fields with an interest in algorithms and data structures using Java.
  4. Software Engineers: Those seeking to enhance their proficiency in Java and algorithmic problem-solving for building scalable applications.
  5. Competitive Programmers: Enthusiasts participating in programming competitions aiming to enhance their algorithmic skills with Java.
  6. System Architects: Professionals involved in designing and optimizing systems where efficient algorithms are crucial, utilizing Java as the programming language.
  7. Interview Preparation: Individuals preparing for technical interviews that often include questions related to data structures and algorithms, specifically using Java.

The Data Structures & Algorithms using Java course caters to both beginners and individuals with some programming experience, offering a solid foundation in essential concepts for efficient software development and problem-solving within the Java ecosystem.

Average package of course (Data Structures & Algorithms using Java)

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Training Features
Comprehensive Course Curriculum

Elevate your career with essential soft skills training for effective communication, leadership, and professional success.

Experienced Industry Professionals

Learn from trainers with extensive experience in the industry, offering real-world insights.

24/7 Learning Access

Enjoy round-the-clock access to course materials and resources for flexible learning.

Comprehensive Placement Programs

Benefit from specialized programs focused on securing job opportunities post-training.

Hands-on Practice

Learn by doing with hands-on practice, mastering skills through real-world projects

Lab Facility with Expert Mentors

State-of-the-art lab facility, guided by experienced mentors, ensures hands-on learning excellence in every session

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Reviews

I joined Naresh IT for Data Structures & Algorithms using Java. The course took me from zero to hero, and the teaching was excellent. Highly recommend it!

Angie M. Thota Rekha
course : Data Structures & Algorithms using Java
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