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: Operations Research, Linear Algebra, Applied Mathematics, Algorithms, Process Optimization, Program Implementation, Computational Thinking, Operational Analysis, Mathematical Modeling, Decision Making, Business Analytics

  • 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

    Skills you'll gain: Sampling (Statistics), Physics, Simulations, Computational Logic, Numerical Analysis, Markov Model, Quantitative Research, Algorithms, Applied Mathematics, Linear Algebra, Integral Calculus

  • 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

    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: 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

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

  • Status: Free Trial

    Skills you'll gain: Business Mathematics, Linear Algebra, Mathematical Modeling, Calculus, Financial Modeling, Algebra, Business Economics, Graphing

  • Status: Preview

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

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Artificial Intelligence, Automation, Simulation and Simulation Software, Mechanics, Algorithms, Control Systems, Systems Of Measurement, Simulations, Engineering, Python Programming, Applied Mathematics, Linear Algebra, Estimation

  • 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

  • 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

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  • University of Colorado Boulder
  • Johns Hopkins University
  • Packt
  • DeepLearning.AI
  • EDUCBA
  • École Polytechnique Fédérale de Lausanne
  • Imperial College London
  • Korea Advanced Institute of Science and Technology(KAIST)