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    • Linear Algebra

    Linear Algebra Courses Online

    Study linear algebra for mathematical and engineering applications. Learn about matrices, vectors, and linear transformations.

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    Explore the Linear Algebra Course Catalog

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Linear Algebra from Elementary to Advanced

      Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Image Analysis, Applied Machine Learning, Engineering Calculations, Geometry, Advanced Mathematics, Mathematical Modeling, Markov Model, Numerical Analysis, Data Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      195 reviews

      Beginner · Specialization · 3 - 6 Months

    • T

      The University of Sydney

      Introduction to Linear Algebra

      Skills you'll gain: Linear Algebra, Geometry, Algebra, Arithmetic, Applied Mathematics, Computational Logic, Computer Graphics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      32 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Machine Learning Algorithms, Applied Mathematics, Geometry, Algorithms, General Mathematics, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      U

      University of Colorado Boulder

      Introduction to Python for Scientific Computing

      Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Matplotlib, Debugging, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Programming Principles, Computational Thinking, Engineering Analysis, Data Analysis, Computer Programming

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Matrix Algebra for Engineers

      Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Advanced Mathematics, Engineering Analysis, General Mathematics, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.6K reviews

      Beginner · Course · 1 - 4 Weeks

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

      Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Markov Model

      4.8
      Rating, 4.8 out of 5 stars
      ·
      72 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Linear Algebra: Linear Systems and Matrix Equations

      Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Engineering Calculations, Mathematical Modeling, Geometry, Data Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      147 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Algebra: Elementary to Advanced

      Skills you'll gain: Graphing, Algebra, Mathematical Modeling, Predictive Modeling, Arithmetic, Advanced Mathematics, Applied Mathematics, Linear Algebra, Business Mathematics, Geometry, Scientific Methods

      4.8
      Rating, 4.8 out of 5 stars
      ·
      748 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Probability & Statistics, Integral Calculus, Machine Learning Methods, Statistical Analysis, Statistics, Advanced Mathematics, Jupyter, Machine Learning Algorithms, Data Science, Mathematical Modeling, Applied Mathematics, Geometry, Artificial Neural Networks, Python Programming, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, Descriptive Statistics, Statistical Hypothesis Testing, Bayesian Statistics, Probability Distribution, Probability & Statistics, Sampling (Statistics), Calculus, Applied Mathematics, Advanced Mathematics, A/B Testing, Statistics, Probability, Numerical Analysis, Mathematical Modeling, Statistical Analysis, Data Science, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Leeds

      Master of Science in Data Science (Statistics)

      Skills you'll gain: Statistical Hypothesis Testing, Regression Analysis, Web Scraping, Matplotlib, Statistical Machine Learning, Statistical Methods, Classification And Regression Tree (CART), Network Analysis, Planning, Applied Machine Learning, R Programming, Statistical Analysis, Data Analysis, Unsupervised Learning, Data Visualization Software, Supervised Learning, Statistical Modeling, Linear Algebra, Bayesian Statistics, Artificial Intelligence and Machine Learning (AI/ML)

      Earn a degree

      Degree · 1 - 4 Years

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    1234…58

    In summary, here are 10 of our most popular linear algebra courses

    • Linear Algebra from Elementary to Advanced: Johns Hopkins University
    • Introduction to Linear Algebra: The University of Sydney
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Introduction to Python for Scientific Computing: University of Colorado Boulder
    • Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
    • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
    • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
    • Algebra: Elementary to Advanced: Johns Hopkins University
    • Mathematics for Machine Learning: Imperial College London

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Linear Algebra

    Linear algebra courses on Coursera cover a wide array of fundamental and advanced topics, enabling learners to:

    • Understand vectors and matrices and their applications in various fields
    • Learn methods for solving systems of linear equations
    • Explore eigenvalues and eigenvectors and their significance in transformations
    • Apply linear algebra concepts to computer graphics, data analysis, and more
    • Discover how linear algebra supports machine learning and artificial intelligence algorithms‎

    No prior experience in advanced mathematics is required to start with the introductory linear algebra courses available on Coursera. These courses are designed to accommodate learners at different proficiency levels:

    • Beginners can start with basic concepts of vectors and matrix operations.
    • Intermediate learners can delve into more complex subjects such as linear transformations and space.
    • Advanced learners can tackle topics like abstract vector spaces and computational linear algebra.‎

    Coursera offers various credentials through its linear algebra courses, designed to cater to both novices and professionals:

    • Course certificates that validate your knowledge of linear algebra fundamentals
    • Professional certificates that demonstrate your specialized skills in mathematics
    • Specializations with focused expertise in advanced linear algebra topics‎

    Looking to enhance your team's linear algebra skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our linear algebra training options and make a purchase, please visit our Coursera for Teams page.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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