Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Explore the Linear Algebra Course Catalog
- Status: Free
Google Quantum AI
Skills you'll gain: Debugging, Hardware Architecture, Failure Analysis, Computer Programming Tools, Theoretical Computer Science, Mathematical Modeling, Computer Hardware, Simulations, Linear Algebra, Computer Science
- Status: Free Trial
Rice University
Skills you'll gain: Physics, Materials science, Physical Science, Trigonometry, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Differential Equations, Applied Mathematics, Problem Solving
- Status: Preview
Sungkyunkwan University
Skills you'll gain: Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability
- Status: Free Trial
Skills you'll gain: Storyboarding, Wireframing, Information Architecture, Figma (Design Software), User Story, User Experience Design, User Centered Design, Prototyping, User Interface and User Experience (UI/UX) Design, Usability, Mockups, Persona (User Experience), User Flows
- Status: Free Trial
Duke University
Skills you'll gain: Predictive Modeling, Predictive Analytics, Microsoft Excel, Data-Driven Decision-Making, Business Analytics, Data Analysis, Business Risk Management
- Status: Free Trial
Kennesaw State University
Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Lean Methodologies, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Process Analysis, Lean Manufacturing, Statistical Analysis, Process Mapping, Correlation Analysis, Data Collection, Regression Analysis
- Status: Free Trial
Columbia University
Skills you'll gain: Image Analysis, Computer Graphics, Virtual Reality, Computer Vision, Linear Algebra
- Status: Free
University of Pennsylvania
Skills you'll gain: Calculus, Engineering Calculations, Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Applied Mathematics, Derivatives
Coursera Project Network
Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra
- Status: Free Trial
Columbia University
Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Algorithms, Linear Algebra, Mathematical Modeling, Machine Learning Algorithms, Machine Learning
- Status: Free Trial
University of Colorado Boulder
Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Data Science, Mathematical Theory & Analysis, Applied Mathematics, Linear Algebra, Derivatives
- Status: Free Trial
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Regression Analysis, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Feature Engineering, Data Visualization, Data Pipelines, NumPy, Python Programming
In summary, here are 10 of our most popular linear algebra courses
- Hands-on quantum error correction with Google Quantum AI:Â Google Quantum AI
- Physics of Light and Materials:Â Rice University
- Machine Learning Basics:Â Sungkyunkwan University
- Build Wireframes and Low-Fidelity Prototypes:Â Google
- Mastering Data Analysis in Excel:Â Duke University
- Six Sigma Green Belt:Â Kennesaw State University
- 3D Reconstruction - Multiple Viewpoints:Â Columbia University
- Calculus: Single Variable Part 1 - Functions:Â University of Pennsylvania
- Principal Component Analysis with NumPy:Â Coursera Project Network
- Features and Boundaries:Â Columbia University