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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

    • I

      Imperial College London

      Survival Analysis in R for Public Health

      Skills you'll gain: Biostatistics, Statistical Analysis, R Programming, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Import/Export, Statistical Hypothesis Testing, Descriptive Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      323 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Kinetics: Studying Spacecraft Motion

      Skills you'll gain: Vibrations, Mechanics, Torque (Physics), Engineering Calculations, Engineering Analysis, Differential Equations, Mathematical Modeling, Engineering, Simulation and Simulation Software, Applied Mathematics, Linear Algebra, Physics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      132 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Modern Regression Analysis in R

      Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Data Modeling, Statistical Analysis, Predictive Modeling, Probability & Statistics, Correlation Analysis, Forecasting, Linear Algebra

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Specialized Models: Time Series and Survival Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Jupyter, Data Cleansing, Applied Machine Learning, Data Transformation, Exploratory Data Analysis, Pandas (Python Package)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      133 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

      Build toward a degree

      3.4
      Rating, 3.4 out of 5 stars
      ·
      75 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Integral Calculus through Data and Modeling

      Skills you'll gain: Calculus, Integral Calculus, Numerical Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Mathematical Modeling, Linear Algebra, Probability, Geometry, Visualization (Computer Graphics), Mechanics, Engineering Calculations, Graphing, Spatial Data Analysis, Physics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      123 reviews

      Intermediate · Specialization · 3 - 6 Months

    • R

      Rice University

      Physics 102 - Magnetic Fields and Faraday's Law

      Skills you'll gain: Torque (Physics), Physics, Electrical Engineering, Basic Electrical Systems, Applied Mathematics, Engineering Calculations, Mechanics, Calculus, Engineering Analysis, Trigonometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • R

      Rice University

      Physics of Light and Materials

      Skills you'll gain: Physics, Mechanics, Physical Science, Trigonometry, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Differential Equations, Applied Mathematics, Integral Calculus

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      L

      Lund University

      Introduction to Particle Accelerators (NPAP MOOC)

      Skills you'll gain: Radiation Protection, Radiography, Semiconductors, Radiology, Physics, Emerging Technologies, Medical Imaging, Electrical Engineering, X-Ray Computed Tomography, Laboratory Experience, Science and Research, Simulation and Simulation Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      199 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Minnesota

      Introduction to Predictive Modeling

      Skills you'll gain: Time Series Analysis and Forecasting, Predictive Modeling, Regression Analysis, Microsoft Excel, Forecasting, Pivot Tables And Charts, Data Transformation, Trend Analysis, Data Cleansing, Statistical Methods, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      134 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Introducción a la ciencia de datos aplicada

      Skills you'll gain: Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Python Programming, Descriptive Statistics, Data Modeling, Statistical Modeling, Design Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      398 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Universidade de São Paulo

      Econometria Básica Aplicada

      Skills you'll gain: Econometrics, Regression Analysis, Statistical Inference, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Economics, Mathematical Modeling, Time Series Analysis and Forecasting, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      168 reviews

      Intermediate · Course · 1 - 3 Months

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    1…242526…55

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

    • Survival Analysis in R for Public Health: Imperial College London
    • Kinetics: Studying Spacecraft Motion: University of Colorado Boulder
    • Modern Regression Analysis in R: University of Colorado Boulder
    • Specialized Models: Time Series and Survival Analysis: IBM
    • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
    • Integral Calculus through Data and Modeling: Johns Hopkins University
    • Physics 102 - Magnetic Fields and Faraday's Law: Rice University
    • Physics of Light and Materials: Rice University
    • Introduction to Particle Accelerators (NPAP MOOC): Lund University
    • Introduction to Predictive Modeling: University of Minnesota

    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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