Linear algebra courses cover key concepts such as vectors, matrices, determinants, and linear transformations. You will learn how to solve systems of equations, perform operations like matrix multiplication, and understand eigenvalues and eigenvectors. These skills are applicable in various fields, including computer graphics, data science, and optimization.

The University of Sydney
Skills you'll gain: Calculus, Integral Calculus, Algebra, Geometry, Trigonometry, Derivatives, Graphing
★ 4.8 (4K) · Intermediate · Course · 1 - 3 Months

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Statistical Programming, R (Software), Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Data Science
★ 4.6 (3.5K) · Intermediate · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Data Science, Calculus, General Mathematics, Applied Mathematics, Derivatives
★ 4.5 (13K) · Beginner · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Risk Analysis, Data Modeling, Business Analysis, Predictive Modeling, Forecasting, Predictive Analytics, Statistical Methods, Simulation and Simulation Software, Probability, Model Optimization, Logistic Regression, Probability Distribution, Vocabulary
★ 4.6 (9.4K) · Mixed · Course · 1 - 4 Weeks

Erasmus University Rotterdam
Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Logistic Regression, Statistical Methods, Data Analysis, Economics, Trend Analysis, Analytics, Statistical Analysis, Statistical Modeling, Statistics, Case Studies, Forecasting, Probability & Statistics, Estimation, Model Evaluation, Statistical Hypothesis Testing, Probability, Linear Algebra
★ 4.6 (1.2K) · Mixed · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Geometry, Applied Mathematics, Algebra
★ 4.8 (55) · Intermediate · Course · 1 - 4 Weeks

Universidad Nacional Autónoma de México
Skills you'll gain: Algebra, General Mathematics, Arithmetic, Applied Mathematics, Geometry
★ 4.8 (3.7K) · Mixed · Course · 1 - 3 Months
Rice University
Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Methods, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Modeling, Statistical Analysis, Statistical Inference, Excel Formulas, Data Analysis, Presentations, Data Presentation, Sample Size Determination
★ 4.7 (13K) · Beginner · Specialization · 3 - 6 Months

Simplilearn
Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Data Analysis, Analytical Skills, Feature Engineering, Applied Machine Learning, Data Science, Data Transformation, Algebra
Beginner · Course · 1 - 4 Weeks

Universidad de Palermo
Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, General Mathematics, Applied Mathematics, Graphing
★ 4.7 (69) · Beginner · Course · 1 - 4 Weeks

Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Differential Equations, Mathematical Modeling, Applied Mathematics, Calculus, Mechanics
★ 4.7 (1.4K) · Beginner · Course · 1 - 3 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Matlab, Numerical Analysis, Mathematical Software, Linear Algebra, Differential Equations, Applied Mathematics, Simulation and Simulation Software, Computational Thinking, Integral Calculus, Scripting, Simulations, Calculus, Plot (Graphics), Algorithms
★ 4.8 (448) · Intermediate · Course · 1 - 3 Months
Start with your goal for linear algebra. If you want to apply it in machine learning, choose courses that cover matrix operations, eigenvalues, and their applications in algorithms. If you’re focused on the theoretical side, look for courses that emphasize proofs, vector spaces, and linear transformations.