Matrix Algebra Courses
Matrix algebra courses can help you learn vector spaces, matrix operations, eigenvalues, and linear transformations. You can build skills in solving systems of equations, performing matrix factorizations, and applying these concepts to data analysis and machine learning. Many courses introduce tools such as MATLAB, Python libraries like NumPy, and R for computational tasks, demonstrating how these skills are utilized in areas like artificial intelligence and statistics.
Popular Matrix Algebra Courses and Certifications
Status: Free TrialThe Hong Kong University of Science and Technology
Skills you'll gain: Matlab, Engineering Analysis, Finite Element Methods, Mechanical Engineering, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Advanced Mathematics, Simulation and Simulation Software, Differential Equations, Calculus
Status: Free TrialNew York University
Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter
Status: PreviewIIT Roorkee
Skills you'll gain: Linear Algebra, Machine Learning Algorithms, NumPy, Dimensionality Reduction, Machine Learning, Data Science, Advanced Mathematics, Applied Mathematics, Python Programming
Status: PreviewJohns Hopkins University
Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms
Status: Free TrialHoward University
Skills you'll gain: Linear Algebra, Applied Mathematics, NumPy, Mathematical Software, Algebra, Data Visualization Software, Jupyter, Mathematical Modeling, Data Science, Python Programming, Data Analysis, Software Installation, Git (Version Control System)
Status: Free TrialUniversity of Glasgow
Skills you'll gain: Matlab, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Engineering Practices
Status: NewStatus: Free TrialJohns Hopkins University
Skills you'll gain: Mathematical Modeling, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Algebra, Arithmetic, Graphing, Engineering Calculations
Skills you'll gain: Calculus, Applied Mathematics, NumPy, Tensorflow, Machine Learning, Python Programming, Derivatives, Algorithms, Development Environment
Status: PreviewTecnológico de Monterrey
Skills you'll gain: Applied Mathematics, Algebra, Mathematical Modeling, Mathematics Education, Graphing, Calculus, Mathematical Theory & Analysis, Graphical Tools, Derivatives
Status: NewStatus: Free TrialJohns Hopkins University
Skills you'll gain: Algebra, Applied Mathematics, Graphing, Mathematical Modeling, Advanced Mathematics, Calculus
Status: Free TrialJohns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Predictive Modeling, Statistics, Statistical Analysis, Applied Mathematics, Advanced Mathematics
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Linear Algebra, Physics, Mathematical Modeling, Applied Mathematics
In summary, here are 10 of our most popular matrix algebra courses
- Mathematics for Engineers: The Capstone Course: The Hong Kong University of Science and Technology
- Fundamentals of Machine Learning in Finance: New York University
- Linear Algebra Basics: IIT Roorkee
- Foundational Mathematics for AI: Johns Hopkins University
- Introduction to Linear Algebra and Python: Howard University
- Fundamental MATLAB Programming for AI: University of Glasgow
- Honors Algebra 2: Polynomials and Complex Numbers: Johns Hopkins University
- Matrix Calculus for Data Science & Machine Learning: Packt
- 3.- El Cálculo - Modelo Cúbico: Tecnológico de Monterrey
- Honors Algebra 2: Algebraic, Exponential & Log Functions: Johns Hopkins University
