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

    Imperial College London

    Skills you'll gain: Regression Analysis, Calculus, Machine Learning Methods, Advanced Mathematics, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    5.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    Status: Preview

    Simplilearn

    Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Applied Machine Learning, Analytics, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    The Hong Kong University of Science and Technology

    Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    397 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    9 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    Howard University

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Numerical Analysis, Algebra, Python Programming, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Predictive Modeling, Statistics, Statistical Analysis, Applied Mathematics, Advanced Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    188 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: Risk Modeling, Operations Research, Regression Analysis, Microsoft Excel, Business Analytics, Risk Analysis, Business Process Modeling, Business Modeling, Data Modeling, Resource Allocation, Analysis, Statistical Analysis, Mathematical Modeling, Process Optimization, Financial Analysis, Statistical Methods, Predictive Analytics, Transportation Operations, Complex Problem Solving, Linear Algebra

    4.8
    Rating, 4.8 out of 5 stars
    4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    University of California San Diego

    Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Python Programming, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    699 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial

    University of Colorado Boulder

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

    4.5
    Rating, 4.5 out of 5 stars
    84 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    Imperial College London

    Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Machine Learning, Calculus

    4
    Rating, 4 out of 5 stars
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    IBM

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    341 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    Howard University

    Skills you'll gain: Data Wrangling, Regression Analysis, Data Manipulation, Dimensionality Reduction, Data Science, Python Programming, Predictive Modeling, Statistical Modeling, Data Analysis, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
    8 reviews

    Mixed · Course · 1 - 4 Weeks

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