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, 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 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, Applied Mathematics, Algebra, Advanced Mathematics, 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
What brings you to Coursera today?
Status: Free TrialImperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming
Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment
Status: NewStatus: PreviewUniversitat Politècnica de València
Skills you'll gain: Linear Algebra, Algebra, Geometry, General Mathematics, Applied Mathematics, Arithmetic
Status: Free TrialUniversity of Pittsburgh
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), 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
Status: Free TrialUniversity of Minnesota
Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Model Evaluation, Linear Algebra
Status: Free TrialSkills you'll gain: Prioritization, Negotiation, Conflict Management, Time Management, Stress Management, Communication, Critical Thinking, Problem Solving, Self-Awareness, Emotional Intelligence, Business Priorities, Complex Problem Solving, Communication Strategies, Courage, Professionalism, Creative Problem-Solving, Personal Development, Business Ethics, Empathy, Goal Setting
In summary, here are 10 of our most popular matrix courses
- Matrix Algebra for Engineers:Â The Hong Kong University of Science and Technology
- Linear Algebra from Elementary to Advanced:Â Johns Hopkins University
- Linear Algebra: Linear Systems and Matrix Equations:Â Johns Hopkins University
- Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors:Â Johns Hopkins University
- Mathematics for Engineers:Â The Hong Kong University of Science and Technology
- Matrix Methods:Â University of Minnesota
- Mathematics for Machine Learning: Linear Algebra:Â Imperial College London
- Matrix Calculus for Data Science & Machine Learning:Â Packt
- Basic Math: Algebra: Universitat Politècnica de València
- Mathematical Foundations for Data Science and Analytics:Â University of Pittsburgh
