Rinex

Data Structures and Algorithms Java

214051+ Learners 4.8 Rating

Become a Java Certified Professional with our Java Course in just 6 months!

  • DSA in Java Course Led by Top Industry Experts
  • Learn Data Structures and Algorithms with our Online Java Training
  • Master DSA by working on Arrays, Linked Lists, Trees, Graphs, Sorting, and Searching Algorithms
  • Placement Assistance upon Online DSA in Java Course Completion

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Overview

This DSA in Java Course Training will help you understand the fundamental concepts of data structures and algorithms using Java, one of the most widely used programming languages. We have covered topics like arrays, linked lists, trees, graphs, and sorting algorithms.

Java's platform independence, robustness, and extensive libraries make it a preferred choice for implementing complex data structures and algorithms. A Senior Java Developer in the United States can earn up to US$110,000 – Indeed

Criteria C++ Java Python
Ease of Use Verbose Moderately verbose Simpler and dynamically typed
Scalability Platform-dependent Highly scalable and platform-independent Cross-platform
Deployment Android and web application Enterprise-level applications Data Science and Machine Learning
Average Salary INR 8,20,368 INR 12,56,424 INR 15,03,492

Basic Understanding: You should be familiar with the basics of Java, including data types, control structures (like loops and conditionals), object-oriented programming, and basic data structures (like arrays, linked lists, and stacks).

Logical Thinking: A strong grasp of logical thinking and problem-solving skills is essential.

Basic Mathematics: A basic understanding of mathematics, especially topics like algebra and basic combinatorics, will be helpful as these are often used in algorithms.

Yes, Java is an excellent language for beginners. Its syntax is more structured, which can help you understand the fundamentals of programming. Java’s widespread use in industries also makes it a valuable language to learn.

Strongly Typed Language:

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Widely Used in Industry:

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Large Community and Resources:

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Object-Oriented Programming:

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Extensive Libraries and Frameworks:

Data Structures and Algorithms in Java Course Syllabus

Setup environment, Basic syntax, and "Hello World!" program, Data types, variables, and constants. Operators and expressions, Control structures: if-else, switch-case. Loops: for, while, do-while. Methods: declaration, denition, calling and recursion. Arrays: single-dimensional and multi-dimensional arrays. References and pointers-like behaviour in Java (references). Dynamic memory allocation with Java (garbage collection). Strings: String class, StringBuilder and StringBuer

Introduction to Big O notation, Omega (Ω) and Theta (Θ) notations. Time complexity analysis: best case, worst case, and average case. Space complexity analysis. Practical examples of complexity analysis.

Introduction to OOP, classes, and objects. Constructors and destructors (nalize method). Access speciers: private, public and protected. Member functions and method overloading. Inheritance: single, multilevel, and hierarchical Polymorphism: method overriding, Abstract classes and interfaces. Exception handling: try, catch, throw, throws and nally, Inner classes and anonymous classes.

Introduction to data structures, arrays and linked lists (singly linked list). Doubly linked list and circular linked list. Stacks: implementation using arrays and linked lists. Queues: implementation using arrays and linked lists. Priority queues and deques. Introduction to trees, binary trees, and binary search trees. Ree traversal techniques: inorder, preorder, postorder. AVL trees: balancing binary search trees, B-trees and B+ trees. Heaps: min-heaps and max-heaps. Trie: implementation and applications

Sorting algorithms: Bubble sort, Selection sort, Insertion sort, Merge sort and quick sort, Heap sort and Radix sort. Searching algorithms: Linear search and Binary search, Hashing and Hash tables, Bucket sort and Shell sort.

Sorting algorithms, Searching algorithms, Dynamic programming, Greedy algorithm, Graph algorithm.

Key Highlights

100+ Hrs Instructor Led Training

Life time access

Project discussions

Certification

Weekend Classes

Mentor Support

Multi-language

No-cost EMI Option

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What Our Students Say

Hear from those who have completed our courses and how it has impacted their careers.

Ananya Sharma

Backend Developer at CodeSolutions

"This course provided the perfect balance of theory and practical application. The projects were challenging but extremely rewarding, and I feel much more confident in my backend skills."

Ravi Patel

AI Researcher at InnovateAI

"The course content was cutting-edge and relevant to current industry trends. I was able to implement what I learned in my AI research projects, and it has significantly impacted my work."

Priya Kapoor

Product Manager at FinTechHub

"This course gave me a deeper understanding of the technical aspects of product development. The instructors were excellent, and the curriculum was well-structured, which helped me lead my team more effectively."

Vikram Singh

DevOps Engineer at CloudSphere

"An exceptional course that covers all the essentials of DevOps. The practical assignments were particularly useful, allowing me to apply what I learned directly to my job."

Neha Gupta

Data Analyst at InsightCorp

"I was impressed by the depth of the content and the hands-on approach of the course. The data analysis techniques I learned have already proven invaluable in my day-to-day work."

Arjun Mehta

Full Stack Developer at TechMasters

"The course was incredibly well-designed, offering a comprehensive overview of full-stack development. The projects were real-world applicable, and I was able to build my portfolio significantly."

Sunita Reddy

Cybersecurity Specialist at SecureNet

"This course was exactly what I needed to advance my career in cybersecurity. The real-world scenarios and case studies provided deep insights that I could immediately apply to my work."

Rahul Desai

Machine Learning Engineer at AI Innovators

"The hands-on projects and in-depth modules helped me gain a solid understanding of machine learning concepts. I now feel more confident tackling complex problems in my job, and this course played a big role in that."

Data Structures and Algorith In Java Program Fees

Online Classroom Preferred

  • ✓ Everything in Self-Paced Learning
  • ✓ 100+ Hrs of Instructor-led Training
  • ✓ One-to-one doubt resolution sessions
  • ✓ Attend as many batches as you want for life
  • ✓ Job Assistance

Weekday (Mon - Fri)

20 Nov 2024

06:00 PM - 8:00 PM

Weekend (Sat - Sun)

20 Dec 2024

06:00 PM - 8:00 PM

Weekend (Sat - Sun)

20 Jan 2025

06:00 PM - 8:00 PM

₹ 55,000

₹ 25,000

45% OFF

Corporate Training

  • ✓ Customized Learning
  • ✓ Enterprise Grade Learning Management System (LMS)
  • ✓ 24x7 Support
  • ✓ Enterprise Grade Reporting

FAQs

Rinex's training will give you hands-on experience in mastering the key concepts and skills required for your chosen field. You will learn both basic and advanced concepts, guided by industry experts. Upon successful completion, you will receive a course completion certificate from Rinex.

Rinex offers a wide range of courses in related fields such as data science, big data, machine learning, AI, and more.

Yes, Rinex provides a variety of free resources to help you get started in your chosen field.

Yes, we provide practice tests to help you prepare for your exams.

Upon completion, you can apply for various roles related to your course, such as software developer, data analyst, and more.

We provide both live sessions and pre-recorded videos.

Top companies in the industry hire professionals with expertise in the field you're studying. Specific companies will depend on the course content.

You can enroll by clicking on the enroll button on our website and completing the registration process.

You can access the recorded session and catch up on what you missed.

You are allowed to have a maximum of 4 1:1 technical sessions per month.