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
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Exploratory Data Analysis, Machine Learning, Python Programming, Artificial Neural Networks
Johns Hopkins University
Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Advanced Mathematics, Applied Mathematics, Deductive Reasoning, Analytical Skills, Arithmetic, Probability & Statistics, Geometry
The Hong Kong University of Science and Technology
Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Numerical Analysis, Integral Calculus, Calculus, electromagnetics, Algebra, Applied Mathematics, Geometry, Mechanics, Scripting, Simulations, Physics, Plot (Graphics), Derivatives
Duke University
Skills you'll gain: Regression Analysis, R (Software), Statistical Software, Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Data Analysis, Model Evaluation, Statistics, Predictive Modeling
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Model Evaluation, Data Cleansing, Data Preprocessing, Data Manipulation, Data Analysis, Model Training, Scatter Plots, Statistical Analysis, Predictive Modeling, Regression Analysis, Statistical Methods, Data Transformation, Data Import/Export, Descriptive Statistics, Box Plots, Model Optimization, Data Visualization, Python Programming
University of Colorado Boulder
Skills you'll gain: Linear Algebra, Data Science, Statistical Methods, Algebra, Numerical Analysis
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
Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Linear Algebra, Artificial Intelligence, Deep Learning, Machine Learning
Google
Skills you'll gain: Responsive Web Design, Storyboarding, Wireframing, User Experience Design, UI/UX Research, User Experience, Usability Testing, Information Architecture, Presentations, Web Design, User Research, Design Thinking, Figma (Design Software), Usability, Design Reviews, Persona (User Experience), Design Research, User Story, Web Presence, Interviewing Skills
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Science, Model Evaluation, Statistical Inference
University of North Texas
Skills you'll gain: Arithmetic, Graphing, Geometry, Statistics, Algebra, Descriptive Statistics, General Mathematics, Applied Mathematics, Statistical Visualization
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
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.
