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: 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, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
Status: NewStatus: Free TrialUniversity of London
Skills you'll gain: Combinatorics, Probability & Statistics, Data Analysis, Advanced Mathematics, Linear Algebra, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Statistics, Analysis, Statistical Analysis, Probability, Algorithms, Algebra
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 TrialDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Data Preprocessing, Machine Learning, Machine Learning Methods
What brings you to Coursera today?
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: Free TrialJohns Hopkins University
Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, General Mathematics, Analytical Skills, Probability & Statistics, Geometry
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 TrialImperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives
Status: Free TrialHoward University
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Algebra, Python Programming, Data Manipulation
Status: NewStatus: Free TrialJohns Hopkins University
Skills you'll gain: Algebra, Graphing, Applied Mathematics, Mathematical Modeling, Trigonometry, Probability, Advanced Mathematics, Data Analysis, Logical Reasoning, General Mathematics, Probability Distribution, Mathematical Theory & Analysis, Descriptive Statistics, Arithmetic, Statistics, Engineering Calculations, Calculus, Visualization (Computer Graphics), Geometry, Analytical Skills
What brings you to Coursera today?
In summary, here are 10 of our most popular matrix algebra courses
- Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
- Linear Algebra from Elementary to Advanced: Johns Hopkins University
- Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
- Applied Mathematical Methods for Computing: University of London
- Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Mathematics for Engineers: The Hong Kong University of Science and Technology
- Algebra: Elementary to Advanced: Johns Hopkins University
- Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
- Mathematics for Machine Learning: Imperial College London
