Java DSA Course Free
Data Structures & Algorithms in Java
4.48
Beginner level
6.0 learning hrs
Learn key data structures, algorithms, recursion techniques, and sorting methods like bubble sort, quick sort and merge sort. Join this free DSA course in Java to gain hands-on experience solving real-world programming challenges.
About this course
This free Java DSA course introduces you to the foundational concepts of data structures and algorithms, which are essential for solving real-world programming problems. You'll start by understanding what data structures are and why they are important for efficient programming. The course covers key topics such as time complexity, recursion, and sorting algorithms, with a focus on practical applications. You'll learn to analyze algorithm performance, design recursive functions, and implement sorting techniques such as bubble sort, quicksort, and mergesort.
You'll gain hands-on experience with recursive problems, understand the internal workings of recursion, and master sorting algorithms to handle large datasets. This practical knowledge will enable you to tackle real-world coding challenges, making you a more efficient and effective programmer. By the end of this course, you will be able to apply data structures and algorithms to optimize code, solve complex problems, and improve program efficiency.
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.
Get access to the complete curriculum once you enroll in the course
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Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What topics are covered in the Data Structures and Algorithms in Java Free Course?
This course covers essential data structures, including arrays, linked lists, stacks, queues, trees, and graphs. You will also learn key algorithms such as search, sorting, and dynamic programming, all taught in Java, giving you a solid foundation for efficient problem-solving.
Who should take this Java DSA course free?
This course is suitable for learners with a basic understanding of Java who want to strengthen their knowledge of data structures and algorithms. It’s ideal for students, aspiring software developers, or anyone preparing for coding interviews. It’s perfect for anyone looking to take a free DSA course in Java.
What Modules are covered in this free online Java DSA course?
You will learn about the following topics in this course:
- What is Data Structure?
- Importance of Data Structure
- Introduction to Algorithm
- Time Complexity
- Additional Example of Time Complexity
- Importance of Recursion
- What is Recursion?
- Example of Recursion
- Steps to Create Recursive Function
- Recursive Function Examples
- Recursion in Tree
- Internal Mechanism of Recursion
- Assignment Solutions
- Tower of Hanoi
- Tower of Hanoi Example
- Need for Sorting Algorithm
- Types of Sorting Algorithm
- Bubble Sort
- Quick Sort
- Merge Sort
- Insertion Sort
How long does it take to complete this Data Structures and Algorithms in Java Free Course?
The course is self-paced. On average, you can expect to complete the course in about 6 hours, depending on your speed and time dedicated to practice.
Do I need prior programming experience to take this Java DSA course free?
Yes, a basic understanding of Java programming is recommended. If you're new to Java, it's best to first complete an introductory Java course before starting this free DSA course in Java.
Does this course include hands-on practice?
Yes, this Java DSA course free offers practical coding exercises where you will implement and work with various data structures and algorithms. These exercises are designed to help you apply what you’ve learned and improve your coding skills.
How will this DSA in Java course free help me with technical interviews?
The concepts covered in this course are often tested in technical interviews. By learning to implement and understand data structures and algorithms in Java, you’ll be well-prepared for the coding challenges commonly found in software development interviews.
What skills will I gain from completing this Java DSA course free with certificate?
You will gain skills in:
Data Structures Basics
Importance of Data Structures
Algorithms Introduction
Time Complexity
Recursion Fundamentals
Recursive Functions
Recursive Trees
Tower of Hanoi
Sorting Algorithms
Bubble Sort
Quick Sort
Merge Sort
Insertion Sort
Can I access the course content anytime?
Yes, since this is a free DSA course in Java, you can access the course content anytime. You can progress through the course at your own pace and return to any section whenever needed.
How does this Data Structures and Algorithms in Java Free Course improve my Java programming skills?
This course helps you enhance your Java programming skills by teaching you to implement common data structures and algorithms efficiently. It’s a great way to improve your coding abilities and prepare for more complex programming tasks.
How do I enroll in this free DSA course in Java?
To enroll, simply visit the course page, click on “Enroll Now,” and follow the easy sign-up steps. You can start learning immediately after enrolling in this Data Structures and Algorithms in Java Free Course.
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.
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.
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.
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.
What knowledge and skills will I gain upon completing this free Data Structures and Algorithms in Java course?
You will learn about essential topics like recursion, calculating the complexity of the code, and sorting 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
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.
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.
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.
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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.