5 Best Linear Algebra Online Courses for Data Science & Machine Learning

4 min readSep 6, 2023

Linear algebra is a fundamental branch of mathematics that plays a crucial role in various fields, including machine learning, data science, computer graphics, and more. Whether you’re a beginner looking to grasp the basics or an experienced practitioner seeking to deepen your knowledge, online courses can be an excellent resource.

In this blog post, we’ll explore the five best online courses for learning linear algebra. These courses cover everything from the fundamentals to advanced applications, and they are accessible through various online learning platforms like Udacity, Coursera, edX, and Datacamp.

1. Linear Algebra Refresher Course with Python — Udacity

Udacity offers a Linear Algebra Refresher Course designed for individuals who want to revisit the essentials of linear algebra or strengthen their foundation. Here’s what you can expect from this course:

Content: This course covers fundamental linear algebra concepts such as vectors, matrices, linear transformations, and eigenvalues. It also delves into applications of linear algebra in computer science and machine learning.
Duration: You can complete this self-paced course at your own speed, making it suitable for learners with various schedules.
Instructors: The course is taught by experienced instructors who provide clear explanations and practical examples.
Hands-on Practice: You’ll have the opportunity to work on hands-on projects to reinforce your understanding of the material.
Certification: Upon completion, you’ll receive a certificate to add to your resume or LinkedIn profile.

This course is an excellent choice for beginners or those who need a refresher in linear algebra before diving into more advanced topics.

2. Mathematics for Machine Learning: Linear Algebra — Coursera

Coursera offers the “Mathematics for Machine Learning: Linear Algebra” course, which is part of the Mathematics for Machine Learning specialization by Imperial College London. Here’s what sets this course apart:

In-Depth Coverage: This course provides a comprehensive exploration of linear algebra, with a strong focus on its applications in machine learning and data science.
Interactive Learning: You’ll engage in interactive assignments and quizzes to reinforce your understanding of the concepts.
Peer Assessment: Some assignments involve peer assessment, allowing you to learn from your peers and receive valuable feedback.
Flexible Schedule: Coursera offers flexibility in terms of deadlines, making it suitable for working professionals and students.
Specialization: If you find linear algebra fascinating and want to dive deeper, you can explore other courses in the Mathematics for Machine Learning specialization.

This course is an excellent choice for those interested in the intersection of linear algebra and machine learning.

3. The Math of Data Science: Linear Algebra — edX

edX presents “The Math of Data Science: Linear Algebra,” a course that focuses on the mathematical foundations of data science. Here’s what you can expect from this course:

Mathematical Rigor: This course goes beyond the basics and delves into the mathematics behind data science algorithms and techniques.
Real-World Applications: You’ll learn how linear algebra concepts are applied to solve practical problems in data science.
Instructor Support: The course provides access to instructors who can help clarify your doubts and provide guidance.
Certification: Upon successful completion, you’ll receive a verified certificate that can enhance your career prospects.
Interactive Learning: The course includes interactive elements to help you grasp complex concepts effectively.

This edX course is ideal for those who want to understand the mathematical underpinnings of data science and gain practical skills.

4. First Steps in Linear Algebra for Machine Learning— Coursera

Coursera offers another excellent linear algebra course titled “First Steps in Linear Algebra for Machine Learning.” Here’s what makes this course stand out:

Beginner-Friendly: This course is designed for beginners, making it accessible to learners with no prior linear algebra knowledge.
Focus on Machine Learning: While covering the fundamentals, this course emphasizes how linear algebra concepts are applied in machine learning.
Practical Examples: You’ll work on practical exercises and examples that demonstrate the relevance of linear algebra in real-world scenarios.
Flexibility: Coursera allows you to choose between auditing the course for free or enrolling in the paid version for graded assignments and certification.
Peer Interaction: Engage with peers in the course’s discussion forums to exchange ideas and seek help when needed.

This course is an excellent starting point for individuals new to linear algebra and interested in its application in machine learning.

5. Linear Algebra for Data Science in R — Datacamp

Datacamp offers a unique course titled “Linear Algebra for Data Science in R.” Here’s what makes this course special:

Practical Focus: This course is tailored for data scientists and emphasizes the practical application of linear algebra in R, a popular programming language for data analysis.
Hands-On Coding: You’ll get hands-on experience by working with R and applying linear algebra concepts to data science tasks.
Project-Based Learning: Learn by doing through data science projects that require the application of linear algebra principles.
Self-Paced Learning: Datacamp courses are self-paced, allowing you to progress at your own speed.
Interactive Learning Environment: Datacamp provides an interactive coding environment that simplifies the learning process.

This course is a great choice for data scientists who want to enhance their skills by incorporating linear algebra into their data analysis toolkit.

Conclusion

Whether you’re a beginner looking to build a strong foundation in linear algebra or an experienced practitioner seeking to apply linear algebra concepts in specific domains like machine learning and data science, these online courses offer valuable resources. Consider your current knowledge level and your learning goals when choosing the course that suits you best. With dedication and the right course, you can master linear algebra and unlock a world of mathematical understanding and practical applications.

Happy learning!