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.

University of Colorado Boulder
Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Computational Logic, System Requirements, Functional Requirement, Theoretical Computer Science, Systems Analysis, Verification And Validation, Control Systems, Linear Algebra, Differential Equations, Applied Mathematics
Build toward a degree
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Information Architecture, Content Management Systems, Web Content, Web Applications, Web Design
Beginner · Guided Project · Less Than 2 Hours

Columbia University
Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Algorithms, Linear Algebra, Machine Learning Algorithms
Beginner · Course · 1 - 3 Months

Kennesaw State University
Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Statistical Hypothesis Testing, Statistical Analysis, Analysis, Statistical Inference, Process Analysis, Correlation Analysis, Data Analysis, Probability & Statistics, Risk Analysis, Regression Analysis, Sample Size Determination, Sampling (Statistics)
Mixed · Course · 1 - 3 Months

University of London
Skills you'll gain: Microsoft Excel, Environmental Policy, Data Analysis, Data Visualization, Descriptive Statistics, Climate Change Programs, Correlation Analysis, Policy Analysis, Scatter Plots, Statistics, Environmental Science, Probability Distribution
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Skills you'll gain: Angular, Linear Algebra, Physics, Mathematical Modeling, Applied Mathematics
Intermediate · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Model Evaluation, Regression Analysis, Statistical Modeling, Data Transformation, Plot (Graphics), Statistical Analysis, Data Analysis, R Programming, Correlation Analysis, Time Series Analysis and Forecasting, Statistical Inference, Linear Algebra, Statistical Hypothesis Testing
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

American Psychological Association
Skills you'll gain: Data Visualization, Descriptive Statistics, Plot (Graphics), Data Literacy, Graphing, Statistical Hypothesis Testing, Probability & Statistics, Statistical Inference, Quantitative Research, Statistics, Statistical Analysis, Sample Size Determination, Data Analysis, Sampling (Statistics), Exploratory Data Analysis, Scatter Plots, Correlation Analysis, Psychology, Research Design, Scientific Methods
Beginner · Course · 1 - 3 Months

University of Toronto
Skills you'll gain: Data Ethics, Data Collection, Quantitative Research, Qualitative Research, Data Analysis, Statistical Analysis, Analytical Skills, Regression Analysis, Focus Group, Correlation Analysis, Diversity and Inclusion, Research Methodologies, Surveys, Business Analytics, Statistical Inference, Sampling (Statistics), Stakeholder Analysis, Probability, Stakeholder Engagement
Mixed · Course · 1 - 4 Weeks

Dassault Systèmes
Skills you'll gain: SolidWorks (CAD), Computer-Aided Design, Product Design, Mechanical Engineering
Beginner · Course · 1 - 4 Weeks

The University of Chicago
Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)
Intermediate · Course · 1 - 3 Months