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.
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Explore the Linear Algebra Course Catalog

  • Status: Free Trial

    Skills you'll gain: Machine Controls, Control Systems, Artificial Intelligence, Automation, Graph Theory, Algorithms, Virtual Environment, Simulation and Simulation Software, Mathematical Modeling, Data Structures, Linear Algebra

  • Status: Free Trial

    Skills you'll gain: Calculus, Integral Calculus, Numerical Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Mathematical Modeling, Data Analysis, Linear Algebra, Probability, Geometry, Applied Mathematics, Visualization (Computer Graphics), Mechanics, Engineering Calculations, Graphing, Spatial Data Analysis, Physics

  • Status: Free Trial

    University of Colorado System

    Skills you'll gain: Bayesian Network, Linear Algebra, Numerical Analysis, Mathematical Modeling, Estimation, Matlab, Simulations, Advanced Mathematics, Engineering Analysis, Time Series Analysis and Forecasting, Global Positioning Systems, Probability & Statistics, Systems Of Measurement, Applied Mathematics, Statistical Methods, Probability Distribution, Predictive Analytics, Computational Thinking, Predictive Modeling, Control Systems

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Vibrations, Mechanics, Torque (Physics), Engineering Calculations, Engineering Analysis, Differential Equations, Mathematical Modeling, Engineering, Simulation and Simulation Software, Applied Mathematics, Linear Algebra, Physics

  • Status: Preview

    Skills you'll gain: Calculus, Geometry, Integral Calculus, Linear Algebra, Visualization (Computer Graphics), Applied Mathematics, Advanced Mathematics, Algebra, Derivatives, Trigonometry

  • Status: Free Trial

    Skills you'll gain: Data Modeling, Graphing, Mathematical Modeling, Algebra, Trigonometry, Linear Algebra, Calculus, Mathematical Software, Applied Mathematics, Geometry

  • Status: Free Trial

    Skills you'll gain: Automation Engineering, Control Systems, Mechanics, Artificial Intelligence, Mathematical Modeling, Torque (Physics), Linear Algebra, Estimation

  • Status: Preview

    National Taiwan University

    Skills you'll gain: Automation Engineering, Mechanics, Mechanical Engineering, Control Systems, Applied Mathematics, Engineering Calculations, Trigonometry, Mathematical Modeling, Linear Algebra, Spatial Analysis

  • Status: Free Trial

    Imperial College London

    Skills you'll gain: Computer Graphics, Visualization (Computer Graphics), Android Development, Computer Graphic Techniques, Android Studio, 3D Assets, Virtual Reality, Animations, Linear Algebra

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Data Science, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Algorithms, Linear Algebra, Exploratory Data Analysis, NumPy, Statistical Analysis

  • Status: Free Trial

    Skills you'll gain: Linear Algebra, Mathematical Modeling, Estimation, Matlab, Simulations, Engineering Analysis, Applied Mathematics, Control Systems, Time Series Analysis and Forecasting, Probability & Statistics, Statistical Methods, Probability Distribution

  • Status: Free Trial

    Skills you'll gain: Deep Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Data Processing, Linear Algebra, Network Architecture