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 TrialUniversity of Minnesota
Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Model Evaluation, Linear Algebra
Status: PreviewSkills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Calculus, Differential Equations, Mathematical Theory & Analysis, Geometry
Status: PreviewUniversity at Buffalo
Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Color Theory, Digital Signal Processing, Applied Mathematics, Artificial Intelligence, Computer Programming, Matlab, Augmented Reality, Algorithms, Calculus, Probability & Statistics
Status: Free TrialDeepLearning.AI
Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Machine Learning Algorithms, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives
Status: PreviewSkills you'll gain: Applied Mathematics, Linear Algebra, Differential Equations, Advanced Mathematics, Algebra, Mathematical Modeling, Mathematical Theory & Analysis
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: PreviewTecnológico de Monterrey
Skills you'll gain: Education Software and Technology, Calculus, Applied Mathematics, Algebra, Mathematical Modeling, Mathematics Education, Graphing, Derivatives
Status: Free TrialThe Hong Kong University of Science and Technology
Skills you'll gain: Matlab, Engineering Analysis, Finite Element Methods, Mathematical Software, Mechanical Engineering, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Advanced Mathematics, Simulation and Simulation Software, Differential Equations, Calculus
Status: Free TrialMultiple educators
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Presentation, Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management
Status: Free TrialHoward University
Skills you'll gain: Data Wrangling, Regression Analysis, Dimensionality Reduction, Data Science, Python Programming, Data Preprocessing, Predictive Modeling, Data Analysis, Linear Algebra, Exploratory Data Analysis, Model Evaluation
Status: Free TrialHoward University
Skills you'll gain: Linear Algebra, Data Visualization, Applied Mathematics, NumPy, Jupyter, Mathematical Modeling, Data Science, Python Programming, Software Installation, Data Manipulation, Git (Version Control System)
Status: Free TrialIllinois Tech
Skills you'll gain: Model Evaluation, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Cleansing, Analytics, Machine Learning, Data Preprocessing, Regression Analysis, Data Mining, Python Programming, Scikit Learn (Machine Learning Library), Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Logistic Regression
In summary, here are 10 of our most popular matrix algebra courses
- Matrix Factorization and Advanced Techniques: University of Minnesota
- Doğrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators: Koç University
- Computer Vision Basics: University at Buffalo
- Calculus for Machine Learning and Data Science: DeepLearning.AI
- Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
- Matrix Methods: University of Minnesota
- 2.- El Cálculo - Modelo Cuadrático: Tecnológico de Monterrey
- Mathematics for Engineers: The Capstone Course: The Hong Kong University of Science and Technology
- Data Science Foundations: IBM
- Capstone: Data Science Problem in Linear Algebra Framework: Howard University
