Best Online Courses on Data Structures and Algorithms 2022

Data Structures and algorithms form the ultimate foundation of programming and data science. They are very useful in solving real-world complex problems. That’s precisely the reason why tech giants like Google, Facebook, Microsoft, Amazon, and most product-based companies focus on measuring a candidate’s knowledge of algorithms and data structures in their interviews for technical roles. In this post, we have aggregated a curated list of the best online courses on data structures and algorithms in 2022.

Best Online Courses on Data Structures and Algorithms 2022

The best way to learn data structures and algorithms is by taking an online course. There are so many resources available online these days that can really help to improve your skill to the next level. We’ve purposefully included courses for data structures and algorithms in Java, Python, C, C++, and Javascript so that you understand the implementation better in the language of your choice.

Best Online Courses on Data Structures and Algorithms for Data Science in 2022

Data Structures and Algorithms Specialization (Coursera)

4.6 (11,571 ratings) || 253,929 students enrolled

You will learn algorithms by implementing nearly 100 coding problems in a programming language of your choice. To the best of my knowledge, no other online course in Algorithms comes close to offering you a wealth of programming challenges (and puzzles!) that you may face at your next job interview. We invested over 3000 hours into designing our challenges as an alternative to multiple-choice questions that you usually find in MOOCs.

Algorithms Specialization (Coursera)

4.8 (4,948 ratings) || 85,713 students enrolled

Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming experience. The specialization is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. After completing this specialization, you will be well-positioned to ace your technical interviews and speak fluently about algorithms with other programmers and computer scientists.

Accelerated Computer Science Fundamentals Specialization (Coursera)

4.7 (1,826 ratings) || 25,352 students enrolled

Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing, and shortest paths.

This Specialization sequence is designed to help prospective applicants to the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science prepare for the Online MCS Entrance Exam. The Online MCS Entrance Exam allows applicants who do not have graded and transcripted prerequisite CS coursework in the areas of data structures, algorithms, and object-oriented programming to strengthen their applications for admission. Learn more about the Online MCS Entrance Exam.

Applied Data Science with Python Specialization (Coursera)

4.5 (23,628 ratings) || 307,397 students enrolled

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistically, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.

Python Data Structures (Coursera)

4.9 (86,817 ratings) || 801,999 students enrolled

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.

JavaScript Algorithms and Data Structures Masterclass (Udemy)

4.7 (16,862 ratings) || 90,686 students enrolled

This course crams months of computer science and interviews prep material into 20 hours of video. The content is based directly on the last semester of my in-person coding boot camps, where my students go on to land 6-figure developer jobs. I cover the exact same computer science content that has helped my students ace interviews at huge companies like Google, Tesla, Amazon, and Facebook. Nothing is watered down for an online audience; this is the real deal 🙂   We start with the basics and then eventually cover “advanced topics” that similar courses shy away from like Heaps, Graphs, and Dijkstra’s Shortest Path Algorithm. 

Python for Data Structures, Algorithms, and Interviews! (Udemy)

4.5 (10,001 ratings) || 67,334 students enrolled

This is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms! This course takes advantage of the easy-to-read Python programming language to efficiently teach you what you need to know to land the tech job of your dreams!

The Coding Interview Bootcamp: Algorithms + Data Structures (Udemy)

4.5 (12,679 ratings) || 81,977 students enrolled

If you’re nervous about your first coding interview or anxious about applying to your next job, this is the course for you.  I got tired of interviewers asking tricky questions that can only be answered if you’ve seen the problem before, so I made this course!  This video course will teach you the most common interview questions that you’ll see in a coding interview, giving you the tools you need to ace your next whiteboard interview.

Data Structures and Algorithms: Deep Dive Using Java (Udemy)

4.5 (10,588 ratings) || 63,851 students enrolled

The reality is, the more you learn about data structures and algorithms, the better a programmer you become.


Because data structures and algorithms are effective patterns for solving problems.   You want to add as many of them as you can to your skill-set.  By doing so, you will find you solve more problems, and use the right tools for the job, in a more elegant way.  And you will learn a heap of them in this course.

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