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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

    • C

      CertNexus

      Build Regression, Classification, and Clustering Models

      Skills you'll gain: Unsupervised Learning, Regression Analysis, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Methods, Supervised Learning, Feature Engineering, Classification And Regression Tree (CART), Performance Tuning, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Practical Quantum Computing with IBM Qiskit for Beginners

      Skills you'll gain: Cryptography, Encryption, Algorithms, Development Environment, Telecommunications, Linear Algebra, Computer Programming Tools, Program Development, Computational Thinking, Physics, Jupyter, Software Installation, Simulations

      Beginner · Course · 3 - 6 Months

    • I

      Illinois Tech

      Model Diagnostics and Remedial Measures

      Skills you'll gain: Data Validation, Regression Analysis, Exploratory Data Analysis, Verification And Validation, Plot (Graphics), Mathematical Modeling, Statistical Methods, Statistical Modeling, Data Transformation, Predictive Modeling, Correlation Analysis, Statistical Analysis, Statistical Inference, Linear Algebra

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      H

      Hebrew University of Jerusalem

      Invitation to Mathematics הזמנה למתמטיקה

      Skills you'll gain: Calculus, Advanced Mathematics, Integral Calculus, Trigonometry, Mathematical Theory & Analysis, Geometry, Algebra, Applied Mathematics, Derivatives

      4.4
      Rating, 4.4 out of 5 stars
      ·
      71 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Deep Learning, Data Ethics, Computational Thinking, Artificial Intelligence, Data Processing, Linear Algebra, Probability Distribution

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Python Fundamentals and Data Science Essentials

      Skills you'll gain: Matplotlib, Data Visualization, Linear Algebra, NumPy, Seaborn, Pandas (Python Package), Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Data Analysis, Data Manipulation, Classification And Regression Tree (CART), Regression Analysis, Data Structures

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      I

      Instituto Tecnológico de Aeronáutica

      Introdução ao Controle Moderno

      Skills you'll gain: Control Systems, Matlab, Engineering Analysis, Simulations, Systems Analysis, System Design and Implementation, Mathematical Modeling, Differential Equations, Linear Algebra, Estimation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Codio

      Java: Data Structures and Algorithms

      Skills you'll gain: Data Structures, Algorithms, Java, Java Programming, Theoretical Computer Science, Computer Programming, Computational Thinking, Programming Principles, Object Oriented Programming (OOP), Performance Tuning

      Intermediate · Specialization · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Trigonometría y geometría analítica

      Skills you'll gain: Trigonometry, Geometry, Applied Mathematics, Algebra, Graphing, Systems Of Measurement

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Università Bocconi

      A Scientific Approach to Innovation Management

      Skills you'll gain: Data Analysis, Innovation, Strategic Decision-Making, Statistical Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Big Data, Business Metrics, A/B Testing, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      77 reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      T

      The Hong Kong University of Science and Technology

      Calculus for Engineers

      Skills you'll gain: Calculus, Engineering Calculations, Differential Equations, Integral Calculus, Engineering Analysis, Applied Mathematics, Numerical Analysis, Algebra, Advanced Mathematics, Trigonometry, Physics, Mathematical Theory & Analysis, Derivatives

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Precalculus: Mathematical Modeling

      Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Analytical Skills, Statistics, Systems Of Measurement, Correlation Analysis, Regression Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      89 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Build Regression, Classification, and Clustering Models: CertNexus
    • Practical Quantum Computing with IBM Qiskit for Beginners: Packt
    • Model Diagnostics and Remedial Measures: Illinois Tech
    • Invitation to Mathematics הזמנה למתמטיקה: Hebrew University of Jerusalem
    • Introduction to Computer Vision: University of Colorado Boulder
    • Python Fundamentals and Data Science Essentials: Packt
    • Introdução ao Controle Moderno: Instituto Tecnológico de Aeronáutica
    • Java: Data Structures and Algorithms: Codio
    • Trigonometría y geometría analítica: Universidad Nacional Autónoma de México
    • A Scientific Approach to Innovation Management: Università Bocconi

    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 Algebra (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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