Learn Data Structures and Algorithms in Java

Data Structures & Algorithms in Java

This free course on Data Structures & Algorithms in Java taught by industry excerpts helps you learn the basic concepts such as Complexity, Recursion, and the Tower of Hanoi. Best for Beginners. Start now!

Instructor:

Mr. Vishwa Mohan
4.48
average rating

Ratings

Beginner

Level

6.0 Hrs

Learning hours

165.4K+
local_fire_department

Learners

Skills you’ll Learn

About this Free Certificate Course

Learn to store and organize data efficiently through this free Data Structures and Algorithms in Java course. You will first learn about data structures and their significance. You will then get familiar with algorithms and time complexity. Further, you will understand recursion in depth. You will learn about the recursive functions, recursive tree, and internal mechanism of recursion.

 

The example of the Tower of Hanoi will help you comprehend it better. Lastly, you will go through sorting algorithms in detail. Enroll in this free Data Structures and Algorithms in Java course and gain a free certificate.

 

Realize your career goal of acquiring advanced software skills with Great Learning's well-established Software Development Courses. Enroll in the top programs of your interest and achieve certificates of course completion.

Why upskill with us?

check circle outline
1000+ free courses
In-demand skills & tools
access time
Free life time Access

Course Outline

What is Data Structure?

A data structure is a method of arranging data to be used effectively. This module focuses on introducing you to Data Structures.

Importance of Data Structure

Data Structures are the backbone of any programming language. This module explains the significance of Data Structures.

Introduction to Algorithm

This module introduces you to the algorithm and its role in coding.

Time Complexity

Time Complexity represents the number of times a statement gets executed. This module explains time and space complexity, and you will learn to find algorithms' time and space complexity.

Additional Example of Time Complexity

This module gives you a better understanding of time complexity with the help of the code example.

Importance of Recursion

This module explains the importance of recursion in programming languages.

What is Recursion?

Recursion is a technique in which a function calls itself one or more times in its code. This module helps you understand recursion in detail.

Example of Recursion

Examples are the best way to understand any concept. Thus, this module consists of examples of recursion that will help you understand it better.

Steps to Create Recursive Function

To learn and execute recursion, you must be thorough with the steps involved. This module addresses the steps involved in creating recursive functions.

Recursive Function Examples

This module has examples of recursion that explains termination condition, business logic, and the recursive call steps to help you understand recursion better.

Recursion in Tree

This module explains what recursion is and how it works in the context of a tree.

Internal Mechanism of Recursion

It is essential to understand the internal mechanism of recursion as it is one of the significant concepts of programming languages. This module focuses on the internal mechanism of recursion and explains it with the help of a stack example.

Assignment Solutions

This module contains solutions for the various recursion problems that address their time complexity. 

Tower of Hanoi

Tower of Hanoi is a mathematical puzzle or a game that will help you understand the stack and recursion concept. This module aims at familiarizing you with the recursion through the Tower of Hanoi concept.

Tower of Hanoi Example

This module helps you understand the Tower of Hanoi concept better by explaining the concept with the help of an example. 

Need for Sorting Algorithm

Sorting algorithms are considered a significant part of programming. Before getting started with sorting algorithms, it is crucial to understand their need and this module focuses on addressing their importance.

Types of Sorting Algorithm

This module familiarizes you with the various types of sorting algorithms present.

Bubble Sort

Bubble sort is a simple sorting algorithm that repeatedly steps through the list to be sorted. This module explains bubble sort and its algorithm in detail.

Quick Sort

Quick sort is a sorting algorithm that uses a partitioning step to divide an array into subarrays, followed by a sorting step to sort the subarrays. This module explains the quick sort, time complexity, and algorithm with an example and demonstration.

Merge Sort

A merge sort is a sorting algorithm that sorts items by dividing them into two groups, sorting each group, and then merging the groups back together. This module explains the merge sort, time complexity, and algorithm with an example and demonstration.

Insertion Sort

Insertion sort is a sorting algorithm in which each element is inserted into its correct position in a sorted array. This module explains insertion sort, time complexity, and algorithm with an example and demonstration.

Our course instructor

instructor img

Mr. Vishwa Mohan

Sr. Software Engineer, Ex-Walmart, Ex- Paypal, IIT-BHU Alumnus

learner icon
193.4K+ Learners
video icon
3 Courses

A Software engineer with 9+ years of experience working in major product companies like Walmart, Paypal, Oracle, etc. He also has a passion for mentoring students and helping professionals crack their dream jobs in Software Engineering.

Trusted by 10 Million+ Learners globally

What our learners say about the course

Find out how our platform helped our learners to upskill in their career.

4.48
Course Rating
67%
24%
6%
1%
2%

Ratings & Reviews of this Course

Reviewer Profile

5.0

I really enjoyed the online course. I thought it was well-planned and very clear, easy for me to follow.
I like the way the faculty explains all the topics easily and in an understandable manner. I am very happy to have gained great knowledge about the course. I really want to share this with you because now I am proficient at coding using the DSA course taught by you. Thank you so much for providing such a great learning academy to gain knowledge about DSA.
Reviewer Profile

5.0

Comprehensive and Engaging Learning Experience
I thoroughly enjoyed the curriculum and topic depth, which were both well-structured and detailed. The instructor's clear explanations and the skills & tools provided were immensely helpful. The quizzes and assignments reinforced the learning effectively. Overall, it was an easy-to-follow and enriching experience.
Reviewer Profile

5.0

Fundamentals of Data and Algorithms
An outstanding educator who made the learning experience both engaging and insightful. The teaching style was clear, and he had a remarkable ability to explain complex concepts in a way that was easy to understand. The interactive sessions, practical examples, and real-world applications they provided were precious.
Reviewer Profile

5.0

Such an Amazing Experience, Totally Worth It
Such an amazing experience, totally worth it. Providing such content at no cost with a certificate means a lot.
Reviewer Profile

4.0

It was good for covering basic concepts needed to start my React journey
The course provided a solid foundation in both fundamental and advanced concepts, with clear explanations and practical examples. I particularly appreciated the hands-on coding exercises, which reinforced my understanding. However, including more real-world scenarios and applications could further enhance the learning experience. Overall, it was well-structured and highly beneficial for developing problem-solving skills.
Reviewer Profile

5.0

Interest for Listening Continuously to This Course is Awesome
Nice explanations, and the assignment questions are very unique and tough.
Reviewer Profile

5.0

I have understood very much, and the quizzes and assignments are useful to me
It's very helpful for me to build my knowledge in data structure algorithms.

Data Structures & Algorithms in Java

6.0 Learning Hours . Beginner

Why upskill with us?

check circle outline
1000+ free courses
In-demand skills & tools
access time
Free life time Access
10 Million+ learners

Success stories

Can Great Learning Academy courses help your career? Our learners tell us how.

And thousands more such success stories..

Frequently Asked Questions

What prerequisites are required to learn this Data Structures and Algorithms in Java course?

This is a beginner's course, and learners can start learning it from scratch without prior knowledge. 

How long does it take to complete this free Data Structures and Algorithms in Java course?

This free course contains four hours of video content that can be completed according to the learner's pace.

Will I have lifetime access to the free course?

Any learners who wish to revisit our free course can do so at any time and brush up on their knowledge of Data Structures and Algorithms in Java. 

What are my next learning options after this Data Structures and Algorithms in Java course?

Post this free course, you can enroll in the Full Stack Developer Course that covers advanced topics required in Software Development.

Is it worth learning Data Structures and Algorithms in Java?

It is definitely worth learning Data Structures and Algorithms in Java as Java is one of the most popular programming languages and is widely employed in the industry. Learning Data Structures and Algorithms will help you write more optimized and efficient code in Java.

What are Data Structures and Algorithms in Java used for?

Data Structures and Algorithms in Java store and process data efficiently. They are used to improve the performance of applications by organizing data in a way that is easy to access and manipulate.

Why are Data Structures and Algorithms in Java so popular?

There are a few reasons for this:
- Java is a popular trending language in general, so many Java programmers are out there.
- Data structures and algorithms are essential topics in computer science, so there is a lot of demand for resources on these topics.
- Java is a relatively easy language to learn, so it is a good choice for people who are just starting to learn to program.
- There are a lot of Java libraries that make it easy to implement data structures and algorithms.

What jobs demand that you learn Data Structures and Algorithms in Java?

Many jobs demand that you learn Data Structures and Algorithms in Java, some of which include: 
- Software Engineer
- Programmer
- Database Administrator
- System Analyst
 

Will I get a certificate after completing this Data Structures and Algorithms in Java course?

Yes. You will be awarded the free certificate of course completion post your successful completion of all the modules and the quiz at the end. 

What knowledge and skills will I gain upon completing this Data Structures and Algorithms in Java course?

You will learn about essential topics like recursion, calculating the complexity of the code, and sorting algorithms.

How much does this Data Structures and Algorithms in Java course cost?

This course is offered for free, and learners don't have to pay any cost to register for this course.

Is there a limit on how many times I can take this Data Structures and Algorithms in Java course?

This course has not imposed any limit on learners; they can revisit it whenever they feel the need for it.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Great Learning Academy offers free courses in multiple domains, and the learners are free to register for more than one course, which enables them to strengthen their career goals.  
 

Why choose Great Learning for this Data Structures and Algorithms in Java course?

Great Learning Academy is well known for its free courses incorporating industry knowledge that helps learners upskill their careers. This free course is beginner-friendly and tends to empower learners with a solid knowledge base on Data Structures and Algorithms in Java.

Who is eligible to take this Data Structures and Algorithms in Java course?

As this free course is explicitly designed for beginner-level learners, any enthusiast can enroll in this course and start learning from scratch.

What are the steps to enroll in this course?

- You can search for the free course "Data Structures and Algorithms in Java" through the Search bar at the top of the Great Learning Academy.
- Once on the page, you can register for the course through the enroll button.
 

Recommended Free Data Structures courses

Free
Linked List in C
course card image

Free

Beginner

Free
Binary Trees
course card image

Free

INTERMEDIATE

Free
Data Structure & Algorithms in Java for Intermediate Level
course card image

Free

INTERMEDIATE

Free
Trees in Java
course card image

Free

Beginner

Similar courses you might like

Free
Java Programming
course card image

Free

Beginner

Free
Cyber Forensics
course card image

Free

Beginner

Free
SQL Interview Questions and Answers
course card image

Free

Beginner

Free
Career in Cybersecurity
course card image

Free

Beginner

Related IT & Software Courses

50% Average salary hike
Explore degree and certificate programs from world-class universities that take your career forward.
Personalized Recommendations
checkmark icon
Placement assistance
checkmark icon
Personalized mentorship
checkmark icon
Detailed curriculum
checkmark icon
Learn from world-class faculties

Java Data Structures  

What is Data Structure?

The literal meaning of data structures is organizing the data in memory. There are various ways by which one can organize the data in memory; one example is an array. Array in java is a collection of memory elements where data is sequentially stored. In other words, the array stores elements in a continuous manner. There are other many other ways to organize data in memory, which are:

  • Primitive data structure
  • Non-primitive data structure

Primitive Data Structure

The primitive data structures are primitive data types that include int, char, float, double, and pointer. These primitive data structures can hold a single value.

Non-Primitive Data Structure

The non-primitive data structure is divided into two types:

  • Linear data structure
  • Non-linear data structure

The arrangement of data in a sequential manner is known as a linear data structure. The data structures used for this purpose are Arrays, Linked lists, Stacks, and Queues. In these data structures, one element is connected to only one another element in a linear form.

 

Data structures can also be classified as:

  • Static Data Structure: The size of static data structures is allocated at the time of compiling, and therefore, the maximum size is fixed. That is the reason it is called a static data structure. 
  • Dynamic Data Structure: The size of the dynamic data structures is allocated at the run time, and therefore, the maximum size is flexible. That is the reason it is called a dynamic data structure.

 

Benefits of Data Structures

Data Structures possess various advantages for professionals in the field of Java development. The reasons one should learn Data Structures and Algorithms are:

  • Efficiency- Given the choice of the data structure for implementing a particular ADT is the right one, and it makes the program efficient for time and space.
  • Reusability- Data Structures provide reusability as multiple programs can use the same data structures.
  • Abstraction- The Data Structure provides a level of abstraction where clients cannot see the internal working of data structure and hence do not have to worry about its implementation.

 

What is an Algorithm? 

Algorithms were historically used as mathematical computation tools that are deeply connected with computer science and data structures. An algorithm is a sequence of instructions followed to accomplish a task in a specified time period. They have some values that are mentioned below:

  • Receive zero or more inputs
  • Produce one or more outputs
  • Consist of clear instructions, no ambiguity
  • Terminates after a finite number of steps

While programs might be algorithmic in nature, some programs would not terminate without external intervention. There are criteria for code sequences to qualify as algorithms. One example of a code sequence that qualifies as an algorithm is the one that prints a report. Another example is Euclid’s algorithm, which calculates the mathematical greatest common divisor. Essentially, algorithms are a data structure’s basic operations.



 

About The Program

The Java Data Structures course curriculum covers the basics of data structures and algorithms in Java. The algorithms covered in detail are recursion, searching, sorting, and more. It will also cover the various data structures and algorithms in Java concepts such as Arrays, Linked Lists, Stacks, and Queues. The concepts are taught with hands-on coding exercises and practical learning. 

The instructor will also help you prepare for coding interviews by helping you tackle common coding problems. The Data Structures and Algorithms free course will help you learn the concepts and prepare for employment in the Java coding domain. You will also understand the nuances of the calculation of complexity in a code. 

Upon completing the data structures and algorithms in the Java free course, you will receive a certificate by Great Learning that you could update on your LinkedIn profile and resume.  

Enrol for Free