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.
Rice University
Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Statistical Analysis, Statistical Modeling, Statistical Inference, Excel Formulas, Business Analytics, Data Analysis, Data Presentation, Model Evaluation, Statistical Methods, Sample Size Determination
★ 4.7 (13K) · Beginner · Specialization · 3 - 6 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, Probability, Statistics, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Data Science
★ 4.6 (3.5K) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Access, Statistics, Statistical Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning, Probability & Statistics, Artificial Intelligence
★ 4.6 (2.6K) · Intermediate · Course · 1 - 3 Months
Rice University
Skills you'll gain: Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Model Evaluation, Estimation, Data Analysis, Analytics, Data Transformation
★ 4.8 (1.4K) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: User Story, Information Architecture, UI/UX Research, User Research, Persona (User Experience), User Interface and User Experience (UI/UX) Design, Design Thinking, Agile Software Development, Scrum (Software Development), User Centered Design, Agile Methodology, Usability, Responsive Web Design, User Interface (UI), Figma (Design Software), Wireframing, User Experience, Adobe XD, Design Research, Prototyping
★ 4.8 (3K) · Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization
★ 4.7 (18K) · Intermediate · Course · 1 - 3 Months

Universidad Nacional Autónoma de México
Skills you'll gain: Algebra, Arithmetic, Geometry
★ 4.8 (3.7K) · Mixed · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Geometry, Algebra
★ 4.8 (56) · Intermediate · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Probability, Graphing, Algebra, Data Science, General Mathematics, Data Analysis, Advanced Mathematics, Derivatives
★ 4.5 (13K) · Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Responsive Web Design, Web Design, User Experience Design, Design Reviews, Wireframing, User Experience, Usability Testing, User Interface and User Experience (UI/UX) Design, User Interface (UI), Usability, Layout Design, User Interface (UI) Design, Prototyping, Mockups, Design, Information Architecture, Design Elements And Principles
★ 4.8 (3.9K) · Beginner · Course · 1 - 4 Weeks

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

Johns Hopkins University
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Statistical Analysis, Statistics
★ 4.6 (109) · Advanced · Course · 1 - 4 Weeks
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.