10 Best Online Courses to Learn Data Structures and Algorithms in 2025

Are you looking for Best Online Courses to Learn Data Structures and Algorithms? If yes, then this article will help you and provide the best online courses to learn data structures and algorithms. So give your few minutes and find out the best data structure and algorithms course.

Data Structure and algorithms teach you a way to be a better programmer and a way to think better. DSA plays an important role to solve real-world problems.

Data Structure and algorithms are essential for handling machine learning tasks. Suppose you are creating a machine learning application that has a dataset with the address as one of its columns. And if you want to retrieve a portion of this data, suppose the street name, then the machine learning cannot work on the string directly. You would need the help of Data structure and algorithms by implementing an algorithm based on a string to retrieve the required data.

Nowadays more and more data is getting stored and processed and the processing time of the systems can slow down. But data structure and algorithms help by improving the processing power of the systems due to the effective utilization of the stored data.

So, In a nutshell, data structure and algorithms are the roots or the foundation of computer science. I hope now you understood the importance of data structure and algorithms.

Now without any further ado, let’s start finding the best online courses to learn data structures and algorithms-

Best Online Courses to Learn Data Structures and Algorithms

1. Data Structures and Algorithms Specialization– UC San Diego

Rating- 4.6/5

Provider- Coursera

Time to Complete- 8 months( If you spend 6 hours/week)

This is one of the best data structures and algorithms courses on Coursera especially if you are a person who prefers practice over theory. This course is the perfect balance of theory and practice. In this specialization program, you will implement about 100 algorithmic coding problems in a programming language of your choice.

This specialization program has two real-world projects- Big Networks and Genome Assembly. In Big networks, you will analyze both road networks and social networks and then you will compute the shortest route between New York and San Francisco.

And in Genome Assembly, you will assemble genomes from millions of short fragments of DNA. In this specialization program, there are 6 courses. Now let’s see the details of the courses-

Courses Details-

1. Algorithmic Toolbox
2. Data Structures
3. Algorithms on Graphs
4. Algorithms on Strings
5. Advanced Algorithms and Complexity
6. Genome Assembly Programming Challenge

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Now, let’s see whether you should enroll in this course or not?

You Should Enroll if-

• You have basic knowledge of at least one programming language: C++, Java, Python, C, C#, Javascript, Haskell, Kotlin, Ruby, Rust, Scala.
• And you have basic knowledge of discrete mathematics.

Interested to Enroll?

If yes, then check out the details here- Data Structures and Algorithms Specialization

2. Algorithms Specialization– Stanford University

Rating- 4.8/5

Provider- Coursera

Time to Complete- 4 months( If you spend 4 hours/week)

This specialization program is best for beginners and provides an introduction to algorithms even if you have at least a little programming experience.

The instructor of this specialization program Tim Roughgarden is a professor in the Computer Science Department at Stanford University since 2004.

This specialization program will not directly delve into mathematical details instead focus on conceptual understanding. There are 4 courses in this specialization program. Now let’s see the details of the courses-

Courses Details-

1. Divide and Conquer, Sorting and Searching, and Randomized Algorithms
2. Graph Search, Shortest Paths, and Data Structures
3. Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
4. Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Now, let’s see whether you should enroll in this course or not?

You Should Enroll if-

• You know how to program in at least one programming language (like C, Java, or Python).

Interested to Enroll?

If yes, then check out the details here- Algorithms Specialization

3. Data Structures and Algorithms– Udacity

Time to Complete- 4 Months( If you spend 10 hrs/week)

Rating- 4.6/5

This is another best course for learning data structure and algorithms. In this Nano-degree program, you will learn data structures and algorithms by solving 80+ practice problems.

Throughout this Nano-degree program, you will learn different data structures for storing data, different methods to manipulate these data structures and examine the efficiency, searching and sorting on different data structures, and more advanced algorithms such as brute-force greedy algorithms, graph algorithms, and dynamic programming.

In this Nanodegree program, there are 4 modules and each module has some set of lessons. Each module has one project. For example, you will solve a series of open-ended practice problems: such as LRU Cache, Private Blockchain, File Recursion, and many more, series of real-world open-ended problems: such as request routing for a web server, search-term auto-completion, and Fibonacci heap, and build a route-planning algorithm like the one used in Google Maps to calculate the shortest path between two points on a map.

Throughout this Nano-degree program, you will use Python programming language.

Extra Benefits-

• You will get a chance to work on Real-world projects.
• You will get Technical mentor support.
• Along with that, you will get Resume services, Github review, LinkedIn profile review.

You Should Enroll if-

• You have Intermediate Python programming knowledge and Basic algebra knowledge.

Interested to Enroll?

If yes, then check out the details here- Data Structures and Algorithms

4. Python Data Structures– University of Michigan

Rating- 4.9/5

Provider- Coursera

Time to Complete- 54 hours

This course is the part of Python for Everybody specialization program. In this course, you will learn how to use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis.

You will also learn multi-step tasks like sorting or looping using tuples and how to create programs that can read and write data from files, etc.

Extra Benefits-

• You will get Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Now, let’s see whether you should enroll in this course or not?

You Should Enroll if-

• You have some basic knowledge in Python.

nterested to Enroll?

If yes, then check out the details here- Python Data Structures

5. Data Structures and Algorithms – The Complete Masterclass– Udemy

Rating- 4.7/5

Time to Complete- 7.5 hours

This is another best online course to learn data structures and algorithms. This is a very interactive course where you will learn the basics of Data Structures and algorithms, basic data structures (Arrays, linked list, and Hash Table), understand the core principles of coding and code complexity.

Extra Benefits-

• You will get a Certificate of Completion.
• You will also get 27 downloadable resources.
• Along with that, you will get lifetime access to the course material.

Now, let’s see whether you should enroll in this course or not?

You Should Enroll if-

• You are complete beginner and want to strengthen your data structure and algorithms skills.

Interested to Enroll?

If yes, then check out the details here- Data Structures and Algorithms – The Complete Masterclass

6. Master the Coding Interview: Data Structures + Algorithms– Udemy

Rating- 4.7/5

Time to Complete- 19 hours

This is the most famous course on Udemy for developers and programmers. The course is divided into two sections- Technical and Non-Technical. In the technical section, you will learn Big O notation, Data structures, and Algorithms. And in the non-technical section, you will learn about interview preparation such as how to get more interviews, how to answer interview questions, etc.

Extra Benefits-

• You will get a Certificate of Completion.
• You will also get 51 articles and 4 downloadable resources.
• Along with that, you will get lifetime access to the course material.

Now, let’s see whether you should enroll in this course or not?

You Should Enroll if-

• You don’t have experience with data structures or algorithms and want to excel in DSA.

Interested to Enroll?

If yes, then check out the details here- Master the Coding Interview: Data Structures + Algorithms

7. Algorithms, Part I & Part II– Princeton University

Rating- 4.9/5

Provider- Coursera

Time to Complete- 54 hours

Princeton University has 2-course series. Both courses are completely free and available on Coursera. These 2 courses are the highest-rated algorithm courses.

In the first Algorithms Part, I course, you will learn elementary data structures, sorting, and searching algorithms. Professor Sedgewick will slowly but steadily presents each algorithm and data structure with dynamic visualization.

In the second Algorithms Part, II course, you will learn graph- and string-processing algorithms and more advanced concepts such as graphs, directed graphs, minimum spanning tree problems, shortest-paths problems, etc.

Extra Benefits-

• You will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Now, let’s see whether you should enroll in this course or not?

You Should Enroll if-

• You have some previous experience in Java programming.

Interested to Enroll?

If yes, then check out the details here- Algorithms, Part I & Part II

8. Mastering Data Structures & Algorithms using C and C++ (Udemy)

Rating- 4.7/5

Time to Complete- 58.5 hours

In this course, you will learn each topic in greater detail and every topic is covered on Whiteboard which will improve your Problem Solving and Analytical Skills. This is the most comprehensive course on data structures and algorithms in C and C++.

The instructor of the course Abdul Bari has over 20 years of experience in the computer science and information technology fields. He delves deep into each topic and explains the concepts in an easy-to-grasp manner.

Extra Benefits-

• You will get a Certificate of Completion.
• You will also get 237 downloadable resources.
• Along with that, you will get lifetime access to the course material.

Now, let’s see whether you should enroll in this course or not?

You Should Enroll if-

• You have previous knowledge of Programming in C and C++.

Interested to Enroll?

If yes, then check out the details here- Mastering Data Structures & Algorithms using C and C++

9. MicroMasters^® Program in Algorithms and Data Structures– edX

Time to Complete- 9 months( If you spend 8 – 10 hours per week)

This program will help you to learn algorithmic techniques for solving various computational problems. Throughout this program, you will develop and implement algorithms, which will be tested by multiple tests to check their correctness and running time.

You will also learn how to implement programs that work in less than one second even on massive datasets, how to formulate real-life computational problems as rigorous algorithmic problems, etc.

This Micro Master program has a total of 8 courses-

1. Algorithmic Design and Techniques
2. Data Structures Fundamentals
3. Graph Algorithms
4. NP-Complete Problems
5. String Processing and Pattern Matching Algorithms
6. Dynamic Programming
7. Graph Algorithms in Genome Sequencing
8. Algorithms and Data Structures Capstone Project 

You Should Enroll if-

• You are a beginner and want to excel in data structure and algorithms.

Interested to Enroll?

If yes, then check out the details here- MicroMasters^® Program in Algorithms and Data Structures

10. Professional Certificate in Data Structures and Algorithms-edX

Time to Complete- 5 months( If you spend 9 – 10 hours per week)

This is a 4-course series program. In this program, you will learn the foundations of data structures, and designing efficient algorithms, and the fundamentals of recursion, edge cases, and algorithmic efficiency.

You will also learn how to differentiate between linear data structures like linked lists, arrays, array lists, stacks, and queues and how to choose the correct structure for a given situation. You will also get to know how to implement a HashMap that uses key-value pairs to store data, and much more.

Now let’s see the details of the courses-

1. ArrayLists, LinkedList, Stacks, and Queues
2. Binary Trees, Heaps, SkipLists, and HashMaps
3. AVL and 2-4 Trees, Divide and Conquer Algorithms
4. Pattern Matching, Dijkstra’s, MST, and Dynamic Programming Algorithms

You Should Enroll if-

• You are a beginner in Data structure and algorithms.

Interested to Enroll?

If yes, then check out the details here- Professional Certificate in Data Structures and Algorithms

And here the list ends. I hope these Best Online Courses to Learn Data Structures and Algorithms will help you. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.

Conclusion

In this article, I tried to cover the 10 Best Online Courses to Learn Data Structures and Algorithms. If you have any doubts or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

Thank YOU!

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