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 TrialHoward University
Skills you'll gain: Data Wrangling, Regression Analysis, Data Manipulation, Dimensionality Reduction, Data Science, Python Programming, Predictive Modeling, Statistical Modeling, Data Analysis, Linear Algebra
Status: Free TrialImperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Machine Learning, Calculus
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Numerical Analysis, Geometry, Applied Mathematics, Mathematical Modeling
Status: Free TrialJohns Hopkins University
Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing
Status: Free TrialUniversity of Minnesota
Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Advanced Mathematics, Linear Algebra
Status: PreviewNortheastern University
Skills you'll gain: Linear Algebra, Statistical Machine Learning, Mathematics and Mathematical Modeling, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, General Mathematics, Machine Learning, Applied Mathematics, Statistical Inference, Algebra
Status: Free TrialJohns Hopkins University
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus
Status: PreviewTecnológico de Monterrey
Skills you'll gain: Advanced Mathematics, Calculus, Applied Mathematics, Mathematical Modeling, Mathematical Theory & Analysis, Algebra, Graphing, Derivatives, Graphical Tools
Status: PreviewTecnológico de Monterrey
Skills you'll gain: Education Software and Technology, Calculus, Applied Mathematics, Algebra, Mathematical Modeling, Mathematics Education, Graphing, Derivatives
Status: Free TrialHoward University
Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Mathematics, Machine Learning Methods, Linear Algebra, Small Data, Statistical Analysis, NumPy
Status: Free TrialRice University
Skills you'll gain: Basic Electrical Systems, Electrical Engineering, Physics, Engineering Analysis, Electronic Systems, Mathematical Modeling, Problem Solving, Applied Mathematics, Advanced Mathematics, Calculus, Trigonometry
Skills you'll gain: Competitive Analysis, Strategic Thinking, Business Strategy, Strategic Decision-Making, Organizational Strategy, Key Performance Indicators (KPIs), Performance Analysis, Analysis, Internal Auditing, Market Analysis, External Auditing, Market Opportunities, Entrepreneurship, Leadership
In summary, here are 10 of our most popular matrix algebra courses
- Capstone: Data Science Problem in Linear Algebra Framework: Howard University
- Mathematics for Machine Learning: PCA: Imperial College London
- Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University
- Mathematical Biostatistics Boot Camp 1: Johns Hopkins University
- Matrix Factorization and Advanced Techniques: University of Minnesota
- Foundations of Statistical Learning & Algorithms: Northeastern University
- Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
- 4.- El Cálculo - Otros Modelos: Tecnológico de Monterrey
- 2.- El Cálculo - Modelo Cuadrático: Tecnológico de Monterrey
- Building Regression Models with Linear Algebra: Howard University
