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: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Machine Learning, Python Programming, Linear Algebra, Calculus

  • Status: Free Trial

    École Polytechnique Fédérale de Lausanne

    Skills you'll gain: Digital Communications, Communication Systems, Electrical and Computer Engineering, Telecommunications, Electronic Systems, Electronics, Engineering Analysis, Engineering Calculations, Numerical Analysis, Linear Algebra, Applied Mathematics, Algorithms, Data Mapping, Real Time Data

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Software Development, Machine Learning Methods, Image Analysis, Linear Algebra, Machine Learning, Data Structures, Performance Tuning, Data Transformation, Algorithms, Data Science

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Artificial Intelligence, Embedded Software, Mechanics, Simulation and Simulation Software, Control Systems, Programming Principles, Algorithms, Linear Algebra, Python Programming

  • Status: Free Trial

    École Polytechnique Fédérale de Lausanne

    Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Communication Systems, Electronic Systems, Electronics Engineering, Telecommunications, Linear Algebra, Calculus, Applied Mathematics

  • Status: Free Trial

    Skills you'll gain: Global Positioning Systems, Estimation, Machine Learning Methods, Computer Vision, Control Systems, Data Integration, Mathematical Modeling, Spatial Analysis, Linear Algebra

  • Status: Free Trial

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

  • Status: Preview

    Skills you'll gain: Image Analysis, Computer Vision, Digital Communications, Computer Graphics, Visualization (Computer Graphics), Medical Imaging, Applied Mathematics, Spatial Analysis, Advanced Mathematics, Linear Algebra, Matlab, Algorithms

  • Status: Free Trial

    Alberta Machine Intelligence Institute

    Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Machine Learning Methods, Test Data, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Predictive Modeling, Exploratory Data Analysis, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

  • Status: Free Trial

    Illinois Tech

    Skills you'll gain: Regression Analysis, R Programming, R (Software), Statistical Methods, Statistical Inference, Data Analysis, Statistical Analysis, Predictive Modeling, Statistics, Probability & Statistics, Linear Algebra

  • Status: Preview

    Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, Mathematical Modeling, Python Programming, Mechanics, Vibrations, Linear Algebra, Simulations

  • Status: Free Trial

    Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Probability & Statistics, Linear Algebra