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MIT Professional Education

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Free Data Structures Courses

img icon BASICS
Data Structures in C
star   4.39 197.7K+ learners 2 hrs

Skills: Arrays in C programming, Stacks, Queue, Linked List, Heaps, Hashing, Binary Search, Tree Data Structure, Binary Tree Data structure

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Java Data Structures for Beginners
star   4.57 12.4K+ learners 3 hrs

Skills: Data Structures, Arrays, Queue, Stack, Linked List

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Linked list Basics
star   4.35 10.1K+ learners 3 hrs

Skills: Linked List, Operations on Linked List such as Traversal, Insertion, Deletion. Implementation of Linked List operations

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Stacks and Queues
star   4.35 7.5K+ learners 2.5 hrs

Skills: Stack, Applications of Stack, Infix to Postfix conversions, Recursion

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Circular Queue
star   4.53 3.2K+ learners 1 hr

Skills: Queue Data Structure

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Java Data Structures for Intermediate Level
star   4.4 7.2K+ learners 2.5 hrs

Skills: Binary Tree, Binary Search Tree, Graphs, Breath first search, Depth First Search, Hash Tables

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Trees in Java
star   4.54 8.7K+ learners 1.5 hrs

Skills: Tree data structure basics, Binary Tree concepts, Traversals methods, Binary search Tree working, Implementation of BST in Java

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Binary Trees
star   4.6 5.9K+ learners 1.5 hrs

Skills: Binary Tree, Binary Search Tree, Operations on BST, Traversal Methods on BInary Tree

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Graphs in Java
star   4.53 2.6K+ learners 1.5 hrs

Skills: Graphs, Breadth First Search, Depth First Search

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Data Structures & Algorithms in Java
star   4.48 181.1K+ learners 4 hrs

Skills: 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

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Python Data Structures
star   4.5 36.7K+ learners 1 hr

Skills: Python Fundamentals, Python Features, Python Uses, List, Tuple, Set, Dictionary, Immutable Data Structure, Differences Between Data Structures, List Vs Tuple, List Vs Set, List Vs Dictionary, Choosing Right Data Structure

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Data Structure & Algorithms in Java for Intermediate Level
star   4.48 17.5K+ learners 4 hrs

Skills: Data Structures, Recursion, Bubble Sort, Quick Sort, Insertion Sort, Merge Sort

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Data Structures in C
star   4.39 197.7K+ learners 2 hrs

Skills: Arrays in C programming, Stacks, Queue, Linked List, Heaps, Hashing, Binary Search, Tree Data Structure, Binary Tree Data structure

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Java Data Structures for Beginners
star   4.57 12.4K+ learners 3 hrs

Skills: Data Structures, Arrays, Queue, Stack, Linked List

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Linked list Basics
star   4.35 10.1K+ learners 3 hrs

Skills: Linked List, Operations on Linked List such as Traversal, Insertion, Deletion. Implementation of Linked List operations

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Stacks and Queues
star   4.35 7.5K+ learners 2.5 hrs

Skills: Stack, Applications of Stack, Infix to Postfix conversions, Recursion

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Circular Queue
star   4.53 3.2K+ learners 1 hr

Skills: Queue Data Structure

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Java Data Structures for Intermediate Level
star   4.4 7.2K+ learners 2.5 hrs

Skills: Binary Tree, Binary Search Tree, Graphs, Breath first search, Depth First Search, Hash Tables

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Trees in Java
star   4.54 8.7K+ learners 1.5 hrs

Skills: Tree data structure basics, Binary Tree concepts, Traversals methods, Binary search Tree working, Implementation of BST in Java

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Binary Trees
star   4.6 5.9K+ learners 1.5 hrs

Skills: Binary Tree, Binary Search Tree, Operations on BST, Traversal Methods on BInary Tree

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Graphs in Java
star   4.53 2.6K+ learners 1.5 hrs

Skills: Graphs, Breadth First Search, Depth First Search

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Data Structures & Algorithms in Java
star   4.48 181.1K+ learners 4 hrs

Skills: 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

img icon BASICS
Python Data Structures
star   4.5 36.7K+ learners 1 hr

Skills: Python Fundamentals, Python Features, Python Uses, List, Tuple, Set, Dictionary, Immutable Data Structure, Differences Between Data Structures, List Vs Tuple, List Vs Set, List Vs Dictionary, Choosing Right Data Structure

img icon BASICS
Data Structure & Algorithms in Java for Intermediate Level

Skills: Data Structures, Recursion, Bubble Sort, Quick Sort, Insertion Sort, Merge Sort

Learn Data Structures for Free and Earn Certificates

Data structures are essential for organizing and storing data efficiently in computers, making them a foundational element of computer science. This field intersects with various domains such as operating systems, artificial intelligence, compiler design, and graphics.

 

Key Highlights of Our Free Data Structures Courses Collection

  • Introduction to Data Structures: Learn about various data structures, including linked lists, arrays, queues, and stacks.
  • Practical Implementation: Understand how to apply these structures in coding to enhance data utilization and manage computer storage effectively.
  • Classification of Data Structures: Dive into the types of data structures, from primitive to non-primitive, and explore linear and non-linear structures along with their sub-types.

 

Skills Covered

  • Efficient Data Management: Manage data for complex applications to improve software performance and speed up data retrieval.
  • Algorithm Implementation: Use data structures to implement algorithms, improving your software's overall performance efficiently.
  • Advanced Data Operations: Master operations such as traversal, searching, sorting, insertion, merging, and deletion within various data structures.

 

Who Should Take Our Free Data Structures Courses?

This course is ideal for budding computer scientists, software developers, and anyone interested in improving their programming efficiency and understanding advanced data management techniques.

 

What Will You Learn in Free Data Structures Courses?

  • Understanding Core Concepts: Grasp the basics and advanced concepts of data structures.
  • Data Search Techniques: Learn how to search through data efficiently using advanced algorithms like linear and binary search.
  • Handling Multiple Requests: Develop skills to manage multiple user requests without overloading web servers, enhancing server performance.
  • Optimizing Processor Speed: Understand how to handle large data volumes effectively to avoid slowing down your processor.
  • Data Sorting and Organization: Learn sorting algorithms such as Quicksort and Bubble sort to organize data efficiently.

 

Enroll in the Great Learning Academy's free data structures courses today and earn a certificate in data structures to advance your programming skills and career.

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star   4.35 10.1K+ learners 3 hrs

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Trees in Java
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Python Data Structures
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Data Structure & Algorithms in Java for Intermediate Level
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Skills: Data Structures, Recursion, Bubble Sort, Quick Sort, Insertion Sort, Merge Sort

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Java Data Structures for Beginners
star   4.57 12.4K+ learners 3 hrs

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Python Stack
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Skills: Tuples in Python, List in Python, Dictionary in Python Set in Python, Implementation using List Queue and Deque

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Learner reviews of the Free Data Structures Courses

Our learners share their experiences of our courses

4.42
67%
22%
6%
1%
4%
Reviewer Profile

5.0

Country Flag India
“A Comprehensive and Well-Structured Free Course”
This free course exceeded my expectations! The content was clear and to the point, and the structure allowed me to progress at my own pace without feeling overwhelmed. The practical examples and quizzes reinforced the concepts and made learning interactive. I especially appreciated the community discussions, which allowed me to connect with other learners and the instructor for extra support. Overall, this course is a fantastic resource for anyone looking to expand their skills without cost.

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4.0

Country Flag India
“Highlight of My Learning Experience”
I really enjoyed this course. I found the curriculum very thorough and liked the topics' depth. The quizzes and assignments were challenging but fair. I also thought the instructor was knowledgeable and presented the material clearly and concisely. Overall, this was a great learning experience, and I would highly recommend it to anyone interested in learning about data structures in C.

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Reviewer Profile

5.0

Country Flag India
“Highlights of What I Learned in Data Structure Course”
I gained a strong foundation in fundamental data structures like arrays, linked lists, stacks, queues, trees, and graphs. The course helped me understand the importance of time and space complexity analysis, and I improved my problem-solving skills through hands-on coding. I also learned how to apply different data structures to optimize performance in real-world applications.

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Reviewer Profile

5.0

Country Flag India
“Great Experience, Easy to Follow”
The online Data Structures and Algorithms (DSA) course provides a structured and comprehensive approach to mastering key concepts. The course covers fundamental and advanced topics, including arrays, linked lists, trees, graphs, sorting, and searching, ensuring a thorough understanding of core DSA principles. The explanations are clear, with concepts broken down in an easy-to-follow manner, making the material accessible even for beginners.

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Reviewer Profile

4.0

Country Flag India
“Good Course on Basics of C”
The online course on Data Structures in C provides a solid foundation, covering key topics like arrays, linked lists, stacks, queues, trees, and graphs, with clear explanations and practical coding examples. The course is well-structured, with logical progression from basic to advanced topics, though it could benefit from more in-depth coverage of time complexity analysis and additional advanced data structures like AVL trees or hash tables.

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Reviewer Profile

4.0

Country Flag India
“Mastering Data Structures in C”
Completed DSA in C, learning key data structures like arrays, linked lists, stacks, and trees. Developed skills in algorithm implementation, time complexity analysis, and problem-solving, enhancing my understanding of efficient data handling and preparing for advanced topics in programming.

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Reviewer Profile

5.0

Country Flag India
“Great Learning's Data Structures Course: Ideal for Beginners”
The Data Structures course by Great Learning has received positive reviews for its comprehensive and beginner-friendly approach. The course provides a thorough introduction to fundamental data structures like arrays, linked lists, stacks, queues, and binary trees. It includes both theoretical concepts and practical implementation examples, making it suitable for beginners and those looking to strengthen their foundations.

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5.0

Country Flag India
“Clear Explanations and Real-World Examples”
What I liked most was how the learning material was structured, with plenty of opportunities for hands-on practice. The interactive approach made the concepts easier to grasp and apply. I also enjoyed the instructor's enthusiasm, which made the learning experience engaging and enjoyable.

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Reviewer Profile

5.0

Country Flag United States
“Enriching Experience with Great Learning's Data Structures Course”
During my experience with Great Learning's Data Structures course, I gained a comprehensive understanding of fundamental concepts, including arrays, linked lists, stacks, queues, and trees. The hands-on projects enhanced my problem-solving skills and reinforced my knowledge through practical applications.

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Reviewer Profile

5.0

Country Flag India
“I Feel Much More Confident in My Programming Abilities”
I feel much more confident in my programming abilities and equipped to tackle complex challenges in software development. I highly recommend this course to anyone looking to deepen their understanding of algorithms and data structures.

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Meet your faculty

Meet industry experts who will teach you relevant skills in artificial intelligence

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Mr. Bharani Akella

Data Scientist
Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

Frequently Asked Questions

What are Data Structures and their types?

Data Structures can be considered as an efficient way of organizing and storing data. Using Data Structures, you can also process and retrieve data. Types of Data Structures are Linked List, arrays, stack, queue, etc.

Where can I learn Data Structures for free?

You can find many data structures courses on the web that are offered for free. One such platform is Great Learning Academy. It provides free Data Structures courses along with many other in-demand courses for free.

Which Data Structure is best?

Each of the Data Structures has its pros and cons. You use Data Structures based on the scenario that you want to solve. You use the best fit among the Data Structures to resolve a problem.

What is the Data Structures course?

Data Structures courses at the beginner level are meant to give you a brief introduction on what Data Structures are, their types, advantages and disadvantages of various Data Structures, and more. If it is an intermediate and advanced level course, then you will learn Data Structures in depth.

How to study Data Structures?

It would help if you first learned what Data Structures are and their types. Data Structures are an integral part of programming, and it is essential for a programmer to be familiar with them to become an efficient programmer. You can find Data Structures tutorials, courses, and live sessions on the various learning platforms.

Is Python good for Data Structures?

Yes, Python is a good language to process Data Structures. The modern programming language provides better speed, syntax, and convenience for processing these Data Structures.

Are Data Structures and Data Science the same?

Data Structures are an integral part of programming. It is an efficient approach for organizing and storing data. It is also the base for the development of various algorithms. Data Science includes preparing data for analysis. It is good to be efficient with Data Structures to become a better data scientist.