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: NewStatus: Free TrialUniversity of Pittsburgh
Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
Status: PreviewNortheastern University
Skills you'll gain: Operations Research, Applied Mathematics, Mathematical Software, Linear Algebra, Mathematical Modeling, Algorithms, Business Modeling, Complex Problem Solving, Spreadsheet Software
Status: PreviewUniversidad Nacional Autónoma de México
Skills you'll gain: Algebra, Mathematical Software, Trigonometry, Mathematical Modeling, General Mathematics, Graphing, Geometry, Arithmetic, Advanced Mathematics
Status: Free TrialJohns Hopkins University
Skills you'll gain: Algebra, Graphing, Advanced Mathematics, Logical Reasoning, General Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Mathematical Modeling, Visualization (Computer Graphics), Correlation Analysis
Status: PreviewJohns Hopkins University
Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Statistical Modeling, Machine Learning Algorithms, Dimensionality Reduction
Status: PreviewUniversidad Nacional Autónoma de México
Skills you'll gain: Trigonometry, Geometry, Applied Mathematics, Algebra, Graphing, Systems Of Measurement
Status: PreviewSkills you'll gain: Applied Mathematics, Linear Algebra, Differential Equations, Advanced Mathematics, Algebra, Mathematical Modeling, Mathematical Theory & Analysis
Status: Free TrialVanderbilt University
Skills you'll gain: Image Analysis, Data Visualization Software, Matlab, Applied Machine Learning, Scatter Plots, Digital Signal Processing, Data Analysis, Histogram, Predictive Modeling, Data Processing, Classification Algorithms, Regression Analysis
Status: Free TrialSkills you'll gain: Project Management Life Cycle, Change Management, Project Management, Project Coordination, Organizational Structure, Generative AI Agents, Project Planning, Agile Methodology, Waterfall Methodology, Strategic Thinking, Interpersonal Communications
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Data Science, Mathematical Theory & Analysis, Applied Mathematics, Linear Algebra, Derivatives
Status: PreviewUniversidad de Palermo
Skills you'll gain: Business Mathematics, Profit and Loss (P&L) Management, Income Statement, Graphing, Financial Analysis, Case Studies, Business Metrics, Operating Cost, Business Analysis, Financial Statements, Mathematical Modeling, Arithmetic, Cost Accounting, Algebra, Sales
Status: NewStatus: PreviewSimplilearn
Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Feature Engineering, Applied Machine Learning, Analytics, Data Science, Unsupervised Learning
In summary, here are 10 of our most popular matrix algebra courses
- Linear Algebra and Regression Fundamentals for Data Science:Â University of Pittsburgh
- Industrial Optimization: Models & Linear Programming:Â Northeastern University
- Funciones algebraicas y trascendentes : Universidad Nacional Autónoma de México
- Honors Algebra 2: Linear and Quadratic Functions:Â Johns Hopkins University
- Foundational Mathematics for AI:Â Johns Hopkins University
- TrigonometrÃa y geometrÃa analÃtica: Universidad Nacional Autónoma de México
- Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
- Introduction to Data, Signal, and Image Analysis with MATLAB:Â Vanderbilt University
- Foundations of Project Management:Â Google
- Integral Calculus and Numerical Analysis for Data Science:Â University of Colorado Boulder
