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
Macmillan Learning
Skills you'll gain: Linear Algebra, Mathematical Modeling, Algebra, Numerical Analysis, Geometry
Macmillan Learning
Skills you'll gain: Linear Algebra, Algebra
Johns Hopkins University
Skills you'll gain: Algebra, Graphing, Applied Mathematics, Mathematical Modeling, Trigonometry, Probability, Advanced Mathematics, Data Analysis, Probability & Statistics, Logical Reasoning, Probability Distribution, Descriptive Statistics, Arithmetic, Statistics, Calculus, Correlation Analysis, Analytical Skills
Howard University
Skills you'll gain: Data Wrangling, Regression Analysis, Linear Algebra, Data Preprocessing, Data Cleansing, NumPy, Data Transformation, Predictive Modeling, Jupyter, Data Analysis, Dimensionality Reduction, Statistical Modeling, Technical Communication, Data Science, Data Modeling, Mathematical Modeling, Model Training, Data Structures, Python Programming, Algebra
Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization
University of Toronto
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Deep Learning, Simulation and Simulation Software, Software Architecture, Simulations, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Hardware Architecture, Systems Architecture, Estimation, Algorithms, Model Training, Computer Hardware, Mathematical Modeling, Linear Algebra
Skills you'll gain: Algebra, Calendar Management, Data Analysis, Prioritization, Needs Assessment, Planning, Time Management, Linear Algebra, Arithmetic, Quality Assessment, Learning Strategies, Problem Solving, Decision Making, Creative Problem-Solving
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, R (Software), Statistical Reporting, Probability & Statistics, Probability Distribution, Statistical Analysis, Statistical Methods, Statistics, Statistical Software, Data Analysis Software, Data Analysis, Probability, R Programming, Statistical Modeling, Data Visualization
Northeastern University
Skills you'll gain: Operations Research, Applied Mathematics, Mathematical Software, Linear Algebra, Mathematical Modeling, Algorithms, Model Optimization
Rice University
Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Statistical Analysis, Statistical Modeling, Statistical Inference, Excel Formulas, Business Analytics, Data Analysis, Data Presentation, Model Evaluation, Statistical Methods, Sample Size Determination
University of Pennsylvania
Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Risk Analysis, Business Mathematics, Predictive Modeling, Forecasting, Predictive Analytics, Probability, Model Optimization, Logistic Regression, Vocabulary
Simplilearn
Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Data Analysis, Analytical Skills, Analytics, Data Science, Algebra
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.
