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.

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

Skills you'll gain: Responsive Web Design, Storyboarding, Wireframing, User Experience Design, UI/UX Research, User Experience, Usability Testing, Information Architecture, Presentations, Web Design, User Research, Design Thinking, Figma (Design Software), Usability, Design Reviews, Persona (User Experience), Design Research, User Story, Web Presence, Interviewing Skills
★ 4.8 (101K) · Beginner · Professional Certificate · 3 - 6 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

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Engineering Calculations, Integral Calculus, Trigonometry, Engineering Analysis, Linear Algebra, Calculus, Differential Equations, Mathematical Modeling, Applied Mathematics, Algebra, Derivatives
★ 4.5 (190) · Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Science, Model Evaluation, Statistical Inference
★ 4.4 (3.4K) · Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Descriptive Statistics, Linear Algebra, Data-Driven Decision-Making, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Applied Mathematics, Mathematical Modeling, Model Optimization, Integral Calculus, Machine Learning Algorithms, Dimensionality Reduction, Derivatives
★ 4.9 (11) · Beginner · Course · 1 - 3 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

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

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

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

Duke University
Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Analysis, Probability, Sampling (Statistics), Persuasive Communication, Correlation Analysis, Communication, Appeals, Business Communication
★ 4.6 (3.8K) · Beginner · Specialization · 3 - 6 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.