Free Data Structures Courses With Certificates For Beginners

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Enroll in our free data structures courses and learn Data structures and algorithms in Java. Also, learn to divide and conquer algorithms, LinkedList, Stack and queues, Trees in Java, Graphs in Java, and more. Join now and earn free Data Structures certificates.

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UNIVERSITY

Microsoft

Data Analytics and Power BI Bootcamp

12 weeks • Online

with PL-300 Prep

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NEW

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Data Structures and Algorithms with Python

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BASICS

4.67 1.3K+ Learners 1 hr

Merge Sort Algorithm Using Java

Skills: Merge Sort Algorithm, Time Complexity, Space Complexity, Merge Sort Implementation

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BASICS

4.53 3.4K+ Learners 1.5 hrs

Greedy Algorithm

Skills: Greedy Algorithm, Dynamic Algorithm, Fractional Knapsack, Prims Minimal Spanning Tree

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BASICS

4.6 6K+ Learners 1.5 hrs

Binary Trees

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

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BASICS

4.67 1.6K+ Learners 2 hrs

Apriori Algorithm

Skills: Conjoint Analysis,Market Basket Analysis,Apriori Algorithm

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BASICS

4.7 1.9K+ Learners 1.5 hrs

Searching Algorithms in Java

Skills: Linear Search, Binary Search

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BASICS

4.72 856 Learners 1.5 hrs

KMP Algorithm

Skills: Pattern Matching, Naive Algorithm, KMP Algorithm, Complexity Analysis

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BASICS

Java Data Structures for Intermediate Level

4.4 7.3K+ Learners 2.5 hrs

Java Data Structures for Intermediate Level

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

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BASICS

4.51 4.5K+ Learners 2.5 hrs

Graph Based Algorithms

Skills: Algorithms based on Graphs

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BASICS

4.58 1.5K+ Learners 1 hr

Heap Sort Program in C

Skills: Sorting Technique

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BASICS

4.56 3.2K+ Learners 2.5 hrs

Linked List in Python

Skills: Linked List, Operations on Linked List - Traversal, Insertion, Deletion.

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BASICS

4.48 1.1K+ Learners 1 hr

Prims Algorithm

Skills: Greedy Programming, Graphs, Trees, Spanning Tree, Minimal Cost Spanning Tree

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BASICS

4.35 7.5K+ Learners 2.5 hrs

Stacks and Queues

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

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BASICS

Merge Sort Algorithm Using Java

4.67 1.3K+ Learners 1 hr

Skills: Merge Sort Algorithm, Time Complexity, Space Complexity, Merge Sort Implementation

BASICS

Greedy Algorithm

4.53 3.4K+ Learners 1.5 hrs

Skills: Greedy Algorithm, Dynamic Algorithm, Fractional Knapsack, Prims Minimal Spanning Tree

BASICS

Binary Trees

4.6 6K+ Learners 1.5 hrs

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

BASICS

Apriori Algorithm

4.67 1.6K+ Learners 2 hrs

Skills: Conjoint Analysis,Market Basket Analysis,Apriori Algorithm

BASICS

Searching Algorithms in Java

4.7 1.9K+ Learners 1.5 hrs

Skills: Linear Search, Binary Search

BASICS

KMP Algorithm

4.72 856 Learners 1.5 hrs

Skills: Pattern Matching, Naive Algorithm, KMP Algorithm, Complexity Analysis

BASICS

Java Data Structures for Intermediate Level

4.4 7.3K+ Learners 2.5 hrs

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

BASICS

Graph Based Algorithms

4.51 4.5K+ Learners 2.5 hrs

Skills: Algorithms based on Graphs

BASICS

Heap Sort Program in C

4.58 1.5K+ Learners 1 hr

Skills: Sorting Technique

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Linked List in Python

4.56 3.2K+ Learners 2.5 hrs

Skills: Linked List, Operations on Linked List - Traversal, Insertion, Deletion.

BASICS

Prims Algorithm

4.48 1.1K+ Learners 1 hr

Skills: Greedy Programming, Graphs, Trees, Spanning Tree, Minimal Cost Spanning Tree

BASICS

Stacks and Queues

4.35 7.5K+ Learners 2.5 hrs

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

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BASICS

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Introduction to Graph Theory

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KMP Algorithm

Skills: Pattern Matching, Naive Algorithm, KMP Algorithm, Complexity Analysis

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Logistic Regression Algorithm

Skills: Logistic Regression, Machine Learning, Supervised Learning

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Skills: Linear Search, Binary Search

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Skills: Merge Sort Algorithm, Time Complexity, Space Complexity, Merge Sort Implementation

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Skills: Divide and Conquer Algorithms

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4.58 1.5K+ Learners 1 hr

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Skills: Sorting Technique

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Linked List in Python

Skills: Linked List, Operations on Linked List - Traversal, Insertion, Deletion.

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4.39 200.8K+ Learners 2 hrs

Data Structures in C

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

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Python Data Structures

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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Skills: Algorithms

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Data Structure & Algorithms in Java for Intermediate Level

4.48 17.5K+ Learners 4 hrs

Data Structure & Algorithms in Java for Intermediate Level

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

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4.57 12.6K+ Learners 3 hrs

Java Data Structures for Beginners

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

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4.59 10.3K+ Learners 2 hrs

Dynamic Programing

Skills: Basics of Dynamic Programming

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Data Structures and Algorithms Interview Questions

4.41 9.2K+ Learners 3 hrs

Data Structures and Algorithms Interview Questions

Skills: Data structures such as Stack, Queues and Linked List. Searching and Sorting Algorithms

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4.35 7.5K+ Learners 2.5 hrs

Stacks and Queues

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

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4.49 1.5K+ Learners 6.5 hrs

Introduction to Graph Theory

Skills: Classes, Objects, Access Modifiers, Inheritance, Abstraction, Polymorphism, Encapsulation

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4.72 856 Learners 1.5 hrs

KMP Algorithm

Skills: Pattern Matching, Naive Algorithm, KMP Algorithm, Complexity Analysis

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4.48 1.1K+ Learners 1 hr

Prims Algorithm

Skills: Greedy Programming, Graphs, Trees, Spanning Tree, Minimal Cost Spanning Tree

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4.69 985 Learners 1 hr

Tower of Hanoi

Skills: Tower of Hanoi, Java Implementation, Python Implementation

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4.53 3.4K+ Learners 1.5 hrs

Greedy Algorithm

Skills: Greedy Algorithm, Dynamic Algorithm, Fractional Knapsack, Prims Minimal Spanning Tree

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4.75 1.4K+ Learners 1.5 hrs

Application of Classification Algorithms

Skills: Supervised Learning, Logistic Regression, Support Vector Machine, K-Nearest Neighbors, Naive Bayes, Decision Tree

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BASICS

4.65 1.2K+ Learners 1.5 hrs

GCD of Two Numbers

Skills: GCD Of Two Numbers

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4.4 7.3K+ Learners 2.5 hrs

Java Data Structures for Intermediate Level

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

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4.71 1.5K+ Learners 1 hr

Logistic Regression Algorithm

Skills: Logistic Regression, Machine Learning, Supervised Learning

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Searching Algorithms in Java

Skills: Linear Search, Binary Search

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4.67 1.3K+ Learners 1 hr

Merge Sort Algorithm Using Java

Skills: Merge Sort Algorithm, Time Complexity, Space Complexity, Merge Sort Implementation

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4.67 1.6K+ Learners 2 hrs

Apriori Algorithm

Skills: Conjoint Analysis,Market Basket Analysis,Apriori Algorithm

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4.6 3K+ Learners 1 hr

Divide and Conquer Algorithms

Skills: Divide and Conquer Algorithms

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4.6 6K+ Learners 1.5 hrs

Binary Trees

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

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4.39 200.8K+ Learners 2 hrs

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

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4.5 37.7K+ Learners 1 hr

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4.44 31.5K+ Learners 3 hrs

Algorithms in C

Skills: Algorithms

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

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4.57 12.6K+ Learners 3 hrs

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

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4.59 10.3K+ Learners 2 hrs

Dynamic Programing

Skills: Basics of Dynamic Programming

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4.41 9.2K+ Learners 3 hrs

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Skills: Data structures such as Stack, Queues and Linked List. Searching and Sorting Algorithms

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4.35 7.5K+ Learners 2.5 hrs

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

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Learner reviews of the Free Data Structures Courses

Our learners share their experiences of our courses

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Sxii

5.0

★★★★ ★

India

“This free DSA course is well-structured and easy to follow. The concepts are clearly explained with hands-on practice, making it a great resource for learners at all levels.”

This free DSA course is outstanding! The content is well-structured, with clear explanations and practical coding exercises that reinforced my understanding. It starts with basics and gradually advances, making complex topics easy to grasp. As a free resource, it offers immense value. Highly recommended for anyone looking to strengthen their foundation in data structures and algorithms!

Disha Rajesh Patel

4.0

★★★ ★ ☆

India

“Through this course, I gained a deep understanding of fundamental data structures such as arrays, linked lists, stacks, and queues, and how to implement them in C.”

I particularly enjoyed the interactive coding sessions where we implemented various data structures and algorithms in C. The clear explanations of concepts, combined with practical examples, made complex topics easier to grasp. Additionally, the focus on problem-solving strategies and real-world applications motivated me to explore more advanced algorithms. The supportive community and opportunities for collaboration with peers enhanced my learning experience, allowing me to gain different perspectives on tackling coding challenges.

Mohammed Ali Mulla

5.0

★★★★ ★

India

“Excellent course content, well-structured lessons, and clear explanations that make complex topics easy to understand and apply”

I thoroughly enjoyed this course. The material was presented in a clear, organized manner, and the pacing was perfect for both beginners and those with some prior knowledge. The course covered all essential concepts, with practical examples that helped solidify my understanding. The instructor was engaging and approachable, always encouraging questions and providing thorough explanations. Additionally, the assignments were well-designed, helping to reinforce what we learned.

Karthik Naik

5.0

★★★★ ★

India

“Overall, I feel confident in my understanding of Data Structures and look forward to building on this knowledge in future courses. Thank you for the excellent teaching!”

I would like to express my appreciation for the Data Structures course. The lessons were well-structured, and the concepts were explained in a clear and concise manner. The use of real-world examples helped in understanding abstract concepts, making them more relatable. The pace of the lectures was comfortable, and the instructor was engaging, always encouraging questions and discussions. Overall, I feel confident in my understanding of Data Structures and look forward to building on this knowledge in future courses. Thank you for the excellent teaching!

KANDAGATLA SAI TEJA REDDY K

5.0

★★★★ ★

India

“Insightful, Concise, and Practical!”

The course is highly insightful, offering clear and concise explanations of key concepts. It combines theory with practical applications, making learning engaging and effective. The structure is well-organized, and the pace is manageable for beginners and advanced learners alike. Interactive elements and real-world examples enhance understanding. Overall, it’s a comprehensive and valuable resource for anyone seeking to deepen their knowledge in the subject. Highly recommended for learners of all levels!

RAFID

5.0

★★★★ ★

India

“Comprehensive Data Structures in C Online Course Review”

This online course on Data Structures in C is an excellent resource for both beginners and intermediate programmers. The curriculum is well-structured, covering essential topics such as arrays, linked lists, stacks, queues, and trees in a clear and concise manner. The instructor presents complex concepts with practical examples, making it easy to grasp the material. Additionally, hands-on assignments reinforce learning and enhance coding skills.

Vedant Bhonsle

4.0

★★★ ★ ☆

India

“An Excellent Course for Building Strong Foundations in Data Structures Using C Programming with Practical Examples and Clear Explanations”

The Data Structures in C course by Great Learning is a great resource for beginners and intermediates looking to solidify their understanding of essential data structures. The course provides clear explanations and practical examples, making concepts like arrays, linked lists, and stacks approachable. The hands-on exercises reinforce learning, though additional depth in certain advanced topics would be beneficial. Overall, it’s a well-structured course that effectively builds core skills.

Himani Rajpurohit

4.0

★★★ ★ ☆

India

“I recently completed the Data Structures course with Great Learning, and I am extremely satisfied with the overall experience.”

I recently completed the Data Structures course with Great Learning, and I am extremely satisfied with the overall experience. The course content was comprehensive and well-structured, covering all the essential topics in depth. The instructors explained complex concepts in a clear and engaging manner, making it easier to understand and apply them in real-world scenarios. The hands-on projects and assignments helped reinforce my learning and improved my problem-solving skills. The support team was always available to assist with any questions or concerns.

kavyareddy kurapati

5.0

★★★★ ★

India

“Comprehensive Understanding of Essential Data Structures like Arrays, Stacks, Queues, Linked Lists, and Trees”

The Data Structures (DS) certificate course was highly engaging and informative. It offered hands-on experience with key concepts like arrays, stacks, queues, linked lists, and trees. The explanations were clear, and the assignments helped reinforce learning. The course improved my problem-solving skills and coding efficiency. The instructors were knowledgeable, and the course materials were well-organized. Overall, it was a great learning experience that deepened my understanding of foundational data structures and algorithms, preparing me for more advanced topics in computer science.

sai abhinav

5.0

★★★★ ★

India

“Comprehensive and Engaging Learning”

The content was well-structured, clear, and engaging. The instructor did an excellent job breaking down complex concepts, making them easy to understand. The course also provided plenty of practical examples and exercises, which helped reinforce the material. Overall, I found it to be highly informative and valuable. I would definitely recommend this course to anyone looking to expand their knowledge in this area!

Meet your faculty

Meet industry experts who will teach you relevant skills in Data Structures

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.

Faizan has been working as an Instructor of Data Structure and Algorithm for the last 1 year. He has expertise in languages such as Java , JavaScript etc. He is a Subject Matter Expert in the field Computer Science and a competitive programmer. He has been working in the technical content development and is a Research Analyst .

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.