Linear Algebra

Linear Algebra is a fundamental area of mathematics that studies vectors, vector spaces and linear transformations between these spaces. Coursera's Linear Algebra catalogue teaches you the concepts, principles, and applications of linear algebra in science and engineering. You'll learn about vector spaces, matrices, determinants, eigenvalues and eigenvectors, and their practical applications. You'll also delve into theoretical aspects, such as abstract vector spaces and linear transformations, and gain tools for solving systems of linear equations. This knowledge will serve as a foundation for various fields such as machine learning, data science, artificial intelligence, and quantum computing.
37credentials
4online degrees
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Explore the Linear Algebra Course Catalog

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Control Systems, Vibrations, Mechanics, Torque (Physics), Global Positioning Systems, Linear Algebra, Numerical Analysis, Engineering Calculations, Simulations, Engineering Analysis, Trigonometry, Physics, Mathematical Modeling, Visualization (Computer Graphics), Differential Equations, Simulation and Simulation Software, Applied Mathematics, Verification And Validation, Engineering, Advanced Mathematics

  • Status: Preview

    Skills you'll gain: Linear Algebra, Machine Learning Algorithms, NumPy, Dimensionality Reduction, Data Science, Machine Learning, Advanced Mathematics, Applied Mathematics, Python Programming

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Estimation, Linear Algebra, Physics, Engineering Calculations, Applied Mathematics, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Calculus, Differential Equations, Physical Science

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Graphing, Applied Mathematics, Data Science, Mathematical Theory & Analysis, Data Analysis, Statistical Methods, Derivatives

  • Status: Free Trial

    Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Algorithms, Linear Algebra, Probability Distribution

  • Status: Preview

    UNSW Sydney (The University of New South Wales)

    Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Computer Vision, Spatial Analysis, Machine Learning, Dimensionality Reduction, Linear Algebra, Deep Learning, Data Validation, Supervised Learning, Probability & Statistics, Artificial Neural Networks

  • Status: Preview

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Calculus, Advanced Mathematics, Differential Equations, Mathematical Theory & Analysis, Mathematical Modeling

  • Status: Preview

    Skills you'll gain: Integral Calculus, Calculus, Graphing, Mechanics, Physics, Mathematical Modeling, Advanced Mathematics, Applied Mathematics, Linear Algebra, Trigonometry, Geometry, Derivatives

  • Status: Free Trial

    Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Research Design, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Data Science, Quantitative Research, Machine Learning, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution

  • Status: Preview

    University of Washington

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics

  • Status: Free Trial

    Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Mathematics, Machine Learning Methods, Linear Algebra, Small Data, Statistical Analysis, NumPy

  • Status: Preview

    Skills you'll gain: Linear Algebra, Differential Equations, Applied Mathematics, Engineering Calculations, Advanced Mathematics, Algebra, Mathematical Modeling

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