Linear Algebra Courses
Linear Algebra courses can help you learn vector spaces, matrix operations, eigenvalues, and linear transformations. You can build skills in solving systems of equations, performing dimensionality reduction, and applying concepts to data analysis and machine learning. Many courses introduce tools such as MATLAB, Python libraries like NumPy, and software for computational mathematics, that support implementing algorithms and visualizing data in various applications, including artificial intelligence and AI-driven models.
Popular Linear Algebra Courses and Certifications
Status: FreePrinceton University
Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Operations Research, Computational Thinking, Computer Programming, Network Routing, Java Programming, Linear Algebra
Status: Free TrialSkills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Numerical Analysis, Geometry, Applied Mathematics, Algebra, Mathematical Modeling
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: 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
Skills you'll gain: Finite Element Methods, Engineering Analysis, Simulation and Simulation Software, Engineering Calculations, Mathematical Modeling, Structural Analysis
Status: 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
Status: Free TrialBirla Institute of Technology & Science, Pilani
Skills you'll gain: Engineering Calculations, Trigonometry, Engineering Analysis, Linear Algebra, Calculus, Differential Equations, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Algebra
Status: PreviewDuke University
Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, General Mathematics
Status: Free TrialImperial College London
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives
Status: PreviewKorea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Differential Equations, Mathematical Modeling, Applied Mathematics, Calculus, Vibrations, Mechanics
Status: PreviewUniversidad Nacional Autónoma de México
Skills you'll gain: Algebra, General Mathematics, Arithmetic, Applied Mathematics, Geometry
In summary, here are 10 of our most popular linear algebra courses
- Algorithms, Part II: Princeton University
- Machine Learning with Python: IBM
- Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University
- Introduction to Linear Algebra and Python: Howard University
- Foundational Mathematics for AI: Johns Hopkins University
- FEM - Linear, Nonlinear Analysis & Post-Processing: Coursera
- Linear Algebra for ML and Analytics Training: Simplilearn
- Basic Engineering Mathematics: Birla Institute of Technology & Science, Pilani
- Data Science Math Skills: Duke University
- Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
