Matrix Courses
Matrix courses can help you learn linear transformations, eigenvalues, matrix operations, and applications in data science and machine learning. You can build skills in solving systems of equations, performing dimensionality reduction, and applying matrix factorization techniques. Many courses introduce tools like MATLAB, NumPy, and R, that support performing complex calculations and visualizing data in practical scenarios.
Popular Matrix Courses and Certifications
Status: Free TrialThe Hong Kong University of Science and Technology
Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Arithmetic, Computational Logic
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
Status: Free TrialThe Hong Kong University of Science and Technology
Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mathematical Software, Mechanical Engineering, Calculus, electromagnetics, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Simulation and Simulation Software, Advanced Mathematics, Geometry, Computational Thinking
Status: PreviewUniversity of Minnesota
Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Numerical Analysis, Statistical Methods, Regression Analysis, Mathematical Modeling, Applied Mathematics, Solution Design, Applied Machine Learning, Data Manipulation, Algorithms, Python Programming
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
What brings you to Coursera today?
Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment
Status: Free TrialImperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming
Status: Free TrialDeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra
Status: NewStatus: PreviewUniversitat Politècnica de València
Skills you'll gain: Linear Algebra, Algebra, Geometry, General Mathematics, Applied Mathematics, Arithmetic
Status: NewStatus: PreviewSimplilearn
Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Feature Engineering, Applied Machine Learning, Analytics, Data Science, Unsupervised Learning
Status: NewStatus: Free TrialSkills you'll gain: Unity Engine, Animation and Game Design, Video Game Development, Data Structures, Game Design, Computer Graphics, Trigonometry, Linear Algebra, Advanced Mathematics, Applied Mathematics, Algorithms, General Mathematics
What brings you to Coursera today?
In summary, here are 10 of our most popular matrix courses
- Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
- Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
- Linear Algebra from Elementary to Advanced: Johns Hopkins University
- Mathematics for Engineers: The Hong Kong University of Science and Technology
- Matrix Methods: University of Minnesota
- Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
- Matrix Calculus for Data Science & Machine Learning: Packt
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- Basic Math: Algebra: Universitat Politècnica de València
