Free Online Linear Algebra Courses & MOOCs

Coursera

Johns Hopkins University

Advanced Linear Models for Data Science 1: Least Squares (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of advanced linear modeling with our introductory course on Least Squares. Gain a solid foundation in linear algebra, multivariate calculus, statistics, and regression models as you learn how to apply least squares methods effectively in data science projects. This course is perfect for those looking to deepen their understanding of predictive analytics.

Sep 21st 2026

5-12 Weeks

Linear Algebra Linear Regression Data Science

Coursera

Stanford University

Machine Learning (Coursera)

Statistics & Data Analysis Data Science

Discover the fascinating world of Machine Learning with this in-depth online course offered by Coursera. Designed for those new to the field, this course will guide you through the fundamentals of making computers 'learn' without being explicitly programmed. From understanding the science behind machine learning to applying effective techniques and gaining hands-on experience, this course is your gateway to mastering a technology that's revolutionizing industries.

Sep 7th 2026

5-12 Weeks

Artificial Intelligence MATLAB Algorithms

Coursera

University of Michigan

The Finite Element Method for Problems in Physics (Coursera)

Engineering Sci: Mathematics

Dive into the world of computational mechanics with 'The Finite Element Method for Problems in Physics' course. This beginner-friendly introduction will equip you with a strong foundation in applying the finite element method (FEM) to solve intricate problems across various fields, including physics and engineering sciences. Through engaging mathematical explanations and practical coding exercises, you'll learn how to implement FEM using modern tools and expand your skills to other applications.

Sep 7th 2026

13-24 Weeks

Math Physics Linear Algebra

Coursera

Imperial College London

Mathematics for Machine Learning: Linear Algebra (Coursera)

Statistics & Data Analysis Data Science

Dive into the core of Mathematics for Machine Learning with our Linear Algebra course. Learn about vectors, matrices, eigenvalues, eigenvectors, and apply these concepts to exciting tasks like image rotation and understanding algorithms like PageRank.

Sep 7th 2026

5-12 Weeks

Math Machine Learning Linear Algebra

Coursera

Imperial College London

Mathematics for Machine Learning: PCA (Coursera)

Data Science

Dive into the essential mathematics behind one of the most popular dimensionality reduction techniques in machine learning: Principal Component Analysis (PCA). This comprehensive course is designed for those with an intermediate understanding of statistics and linear algebra, aiming to equip you with the skills needed to apply PCA effectively in your data science projects. By the end of this course, you'll have a solid grasp on how to minimize reconstruction error and extract meaningful patterns from high-dimensional datasets.

Sep 7th 2026

4 Weeks

Statistics Analysis Machine Learning

Coursera

CertNexus

Build Regression, Classification, and Clustering Models (Coursera)

Data Science

Dive into the world of machine learning with our expert-led course designed to equip you with essential skills in building powerful regression, classification, and clustering models. Learn from industry professionals and apply your knowledge to real-world scenarios for practical experience.

Sep 7th 2026

5-12 Weeks

ML Machine Learning Linear Algebra

Coursera

DeepLearning.AI

Linear Algebra for Machine Learning and Data Science (Coursera)

Data Science Computer Science

Dive into the core principles of Linear Algebra that are pivotal in Machine Learning and Data Science with this comprehensive online course. Learn to represent and analyze data using vectors and matrices, apply essential operations like dot products and inverses, and explore linear transformations and eigenvalues/eigenvectors for advanced problem-solving.

Sep 7th 2026

4 Weeks

Machine Learning Linear Algebra Vectors

Coursera

University of Colorado Boulder

Robotic Mapping and Trajectory Generation (Coursera)

Computer Science

Embark on an exciting journey into the world of advanced robotics with 'Robotic Mapping and Trajectory Generation'. This course is designed for those who want to delve deeper into the intricacies of robotic systems, focusing on mapping techniques and trajectory planning. Learn how to perform complex tasks such as inverse kinematics and control feedback, and master the art of processing multi-dimensional sensor data like laser range scanners. Gain insights into modeling uncertainties in mechanisms and sensors, and learn effective strategies for controlling them.

Sep 7th 2026

5-12 Weeks

Python Robotics Linear Algebra

Coursera

University of Colorado Boulder

Basic Robotic Behaviors and Odometry (Coursera)

Robotics & Computer Vision

Discover the basics of robotic navigation and control with 'Basic Robotic Behaviors and Odometry'. This course introduces you to the principles behind autonomous mobile robots, including essential concepts like odometry, sensors, actuators, and reactive behaviors. Gain practical experience using the Webots simulator for a hands-on approach to understanding how simple robots navigate their environments.

Sep 7th 2026

5-12 Weeks

Robotics Linear Algebra Sensors