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.

Coursera
Skills you'll gain: Algebra, Calendar Management, Goal Setting, Data Analysis, Prioritization, Needs Assessment, Planning, Time Management, Linear Algebra, Arithmetic, Quality Assessment, Learning Strategies, Decision Making, Creative Problem-Solving
Beginner · Course · 1 - 4 Weeks

Kennesaw State University
Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Process Improvement and Optimization, Probability Distribution, Regression Analysis, Project Design, Quality Assessment, Project Schedules, Business Process, Project Management
★ 4.7 (4.4K) · Beginner · Specialization · 3 - 6 Months

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

Duke University
Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Computational Logic, Analysis, Probability, Diagram Design, Sampling (Statistics), Persuasive Communication, Verification And Validation, Probability & Statistics, Statistical Inference, Correlation Analysis, Communication, Decision Intelligence, Appeals, Business Communication
★ 4.6 (3.8K) · Beginner · Specialization · 3 - 6 Months

University of Pittsburgh
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Plot (Graphics), Statistics, Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
★ 3.6 (16) · Beginner · Specialization · 1 - 3 Months

Kennesaw State University
Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Team Performance Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Lean Methodologies, Team Building, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Probability Distribution, Process Improvement and Optimization, Statistical Methods, Process Analysis, Data Literacy
★ 4.7 (4.8K) · Intermediate · Specialization · 3 - 6 Months

University of Toronto
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Deep Learning, Simulation and Simulation Software, Software Architecture, Simulations, Safety Assurance, Global Positioning Systems, Hardware Architecture, Systems Architecture, Network Routing, Graph Theory, Estimation, Algorithms, Artificial Intelligence, Mathematical Modeling, Applied Mathematics
★ 4.7 (3.6K) · Advanced · Specialization · 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, Model Training, Predictive Modeling, Machine Learning Algorithms, Statistical Methods, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization, Classification Algorithms
★ 4.7 (18K) · Intermediate · Course · 1 - 3 Months

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, UI/UX Strategy, Scrum (Software Development), User Centered Design, Design Research, Responsive Web Design, User Interface (UI), Figma (Design Software), Wireframing, User Experience, Adobe XD, Responsible AI, Prototyping
★ 4.8 (3K) · Beginner · Professional Certificate · 3 - 6 Months
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, R (Software), Statistical Reporting, Probability & Statistics, Probability Distribution, Statistical Analysis, Statistical Methods, Statistics, Statistical Programming, Statistical Software, Data Analysis, Probability, R Programming, Statistical Modeling, Data Visualization
★ 4.7 (7.7K) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Applied Machine Learning, Data Access, Statistics, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Data Wrangling, Machine Learning, Probability & Statistics, Data Import/Export, Data Transformation
★ 4.6 (2.6K) · Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Statistical Methods, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistics, Statistical Inference, Model Evaluation, Statistical Hypothesis Testing, Integral Calculus
★ 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.