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 Hong Kong University of Science and Technology
Skills you'll gain: Differential Equations, Applied Mathematics, Numerical Analysis, Linear Algebra
★ 4.9 (2.3K) · Beginner · Course · 1 - 3 Months

University of Pittsburgh
Skills you'll gain: NumPy, Matplotlib, Plot (Graphics), Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Mathematics and Mathematical Modeling, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
★ 3.4 (11) · Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Statistics, Derivatives
★ 4.5 (192) · Advanced · Course · 1 - 3 Months

Howard University
Skills you'll gain: Linear Algebra, NumPy, Jupyter, Data Science, Data Modeling, Mathematical Modeling, Data Structures, Python Programming
★ 4.4 (16) · Beginner · Course · 1 - 4 Weeks

California Institute of the Arts
Skills you'll gain: Information Architecture, Wireframing, User Interface and User Experience (UI/UX) Design, Persona (User Experience), User Experience, Mockups, User Experience Design, Responsive Web Design, Experience Design, User Interface (UI), Web Design, UI/UX Strategy, User Interface (UI) Design, Adobe XD, User Centered Design, Prototyping, Layout Design, Interaction Design, User Research, Graphic Design
★ 4.7 (8.1K) · Beginner · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Artificial Neural Networks, Derivatives
★ 4.7 (5.8K) · Beginner · Course · 1 - 3 Months
University of Pennsylvania
Skills you'll gain: Risk Modeling, Risk Management, Cash Flow Forecasting, Business Modeling, Mathematical Modeling, Data-Driven Decision-Making, Portfolio Management, Forecasting, Regression Analysis, Financial Modeling, Risk Analysis, Predictive Modeling, Data Presentation, Presentations, Financial Forecasting, Spreadsheet Software, Microsoft PowerPoint, Strategic Decision-Making, Excel Formulas, Microsoft Excel
★ 4.5 (11K) · Beginner · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Descriptive Statistics, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Calculus
★ 4 (3.2K) · Intermediate · Course · 1 - 4 Weeks

Universitat Politècnica de València
Skills you'll gain: Linear Algebra, Algebra, Geometry, General Mathematics, Applied Mathematics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Finite Element Methods, Engineering Analysis, Simulation and Simulation Software, Simulations, Structural Analysis
★ 4.7 (221) · Intermediate · Guided Project · Less Than 2 Hours

Howard University
Skills you'll gain: Linear Algebra, Python Programming, Algebra
★ 4.5 (18) · Mixed · Course · 1 - 4 Weeks

Macmillan Learning
Skills you'll gain: Linear Algebra, Applied Mathematics, Advanced Mathematics, Numerical Analysis, Geometry, Algebra, Differential Equations, Mathematical Modeling, Regression Analysis, Markov Model
Intermediate · Specialization · 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.