Linear Algebra Courses
Linear algebra courses cover key concepts such as vectors, matrices, determinants, and linear transformations. You will learn how to solve systems of equations, perform operations like matrix multiplication, and understand eigenvalues and eigenvectors. These skills are applicable in various fields, including computer graphics, data science, and optimization.
Popular Linear Algebra Courses and Certifications
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Machine Learning Methods, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm
University of Pittsburgh
Skills you'll gain: NumPy, Matplotlib, Plot (Graphics), Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Mathematics and Mathematical Modeling, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Artificial Neural Networks, Derivatives
Birla Institute of Technology & Science, Pilani
Skills you'll gain: Engineering Calculations, Integral Calculus, Trigonometry, Engineering Analysis, Linear Algebra, Calculus, Differential Equations, Mathematical Modeling, Applied Mathematics, Algebra, Derivatives
California Institute of the Arts
Skills you'll gain: Information Architecture, Wireframing, User Interface and User Experience (UI/UX) Design, Persona (User Experience), User Experience, Mockups, User Experience Design, Responsive Web Design, Experience Design, User Interface (UI), Web Design, UI/UX Strategy, User Interface (UI) Design, Adobe XD, User Centered Design, Prototyping, Layout Design, Interaction Design, User Research, Graphic Design
The Hong Kong University of Science and Technology
Skills you'll gain: Differential Equations, Applied Mathematics, Numerical Analysis, Linear Algebra
Johns Hopkins University
Skills you'll gain: Descriptive Statistics, Linear Algebra, Data-Driven Decision-Making, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Applied Mathematics, Mathematical Modeling, Model Optimization, Integral Calculus, Machine Learning Algorithms, Dimensionality Reduction, Derivatives
Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Descriptive Statistics, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Calculus
Macmillan Learning
Howard University
Skills you'll gain: Linear Algebra, Python Programming, Algebra
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Statistics, Derivatives
Duke University
Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Analysis, Probability, Sampling (Statistics), Persuasive Communication, Correlation Analysis, Communication, Appeals, Business Communication
How to choose the right Linear Algebra course
Start with your goal for linear algebra. If you want to apply it in machine learning, choose courses that cover matrix operations, eigenvalues, and their applications in algorithms. If you’re focused on the theoretical side, look for courses that emphasize proofs, vector spaces, and linear transformations.
