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
University of Colorado Boulder
Skills you'll gain: Linear Algebra, Data Science, Statistical Methods, Algebra, Numerical Analysis
Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Linear Algebra, Artificial Intelligence, Deep Learning, Machine Learning
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Plot (Graphics), Scatter Plots, Statistical Analysis, Regression Analysis, Model Evaluation, Data Import/Export, Data Visualization, Box Plots, Data Analysis, Descriptive Statistics, Data Preprocessing, Data Manipulation, Scikit Learn (Machine Learning Library), Statistical Methods, Predictive Modeling, Analytics, Pandas (Python Package), Python Programming
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
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
Johns Hopkins University
Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Advanced Mathematics, Applied Mathematics, Deductive Reasoning, Analytical Skills, Arithmetic, Probability & Statistics, Geometry
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Science, Model Evaluation, Statistical Inference
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 Pennsylvania
Skills you'll gain: Risk Modeling, Risk Management, Cash Flow Forecasting, Business Modeling, Mathematical Modeling, Data-Driven Decision-Making, Portfolio Management, Forecasting, Regression Analysis, Financial Modeling, Risk Analysis, Predictive Modeling, Data Presentation, Presentations, Financial Forecasting, Spreadsheet Software, Microsoft PowerPoint, Strategic Decision-Making, Excel Formulas, Microsoft Excel
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
Universitat Politècnica de València
Skills you'll gain: Linear Algebra, Algebra, Geometry, General Mathematics, Applied Mathematics
Howard University
Skills you'll gain: Linear Algebra, NumPy, Jupyter, Data Science, Data Modeling, Mathematical Modeling, Data Structures, Python Programming
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.
