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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

    • U

      University of Washington

      Social Media Data Analytics

      Skills you'll gain: R Programming, Text Mining, Statistical Analysis, Correlation Analysis, Web Scraping, Regression Analysis, Analytics, Big Data, Data Analysis, Data Mining, Unstructured Data, Data Collection, Scripting, Application Programming Interface (API), Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      296 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      J

      Johns Hopkins University

      Foundational Mathematics for AI

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

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Probability Theory: Foundation for Data Science

      Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Sampling (Statistics), Statistical Analysis, Descriptive Statistics, Statistical Inference, Correlation Analysis

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Electrodynamics: In-depth Solutions for Maxwell’s Equations

      Skills you'll gain: Basic Electrical Systems, Electrical Engineering, Electrical Systems, Differential Equations, Electronic Components, Advanced Mathematics, Integral Calculus, Electronics, Applied Mathematics, Physics, Mathematical Modeling, Engineering Analysis, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      115 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Kinematics: Describing the Motions of Spacecraft

      Skills you'll gain: Mechanics, Linear Algebra, Numerical Analysis, Engineering Calculations, Engineering Analysis, Differential Equations, Physics, Mathematical Modeling, Applied Mathematics, Verification And Validation, Advanced Mathematics, Estimation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      332 reviews

      Advanced · Course · 1 - 4 Weeks

    • R

      Rice University

      Portfolio Selection and Risk Management

      Skills you'll gain: Portfolio Management, Investment Management, Investments, Financial Market, Risk Management, Equities, Finance, Return On Investment, Risk Analysis, Statistical Methods, Probability Distribution, Correlation Analysis, Decision Making, Quantitative Research, Variance Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      609 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of California, Davis

      Setting Expectations & Assessing Performance Issues

      Skills you'll gain: Key Performance Indicators (KPIs), Gap Analysis, Performance Management, Performance Analysis, Expectation Management, Employee Performance Management, Employee Coaching, Performance Improvement, Coaching, Accountability, Constructive Feedback, Goal Setting, Professional Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      697 reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      ISAE-SUPAERO

      Flight mechanics - The basis

      Skills you'll gain: Mechanics, Simulations, Engineering Calculations, Physics, Applied Mathematics, Energy and Utilities, Engineering Analysis, Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      448 reviews

      Beginner · Course · 1 - 4 Weeks

    • R

      Rice University

      Introduction to Electricity and Magnetism

      Skills you'll gain: Basic Electrical Systems, Electrical Engineering, Torque (Physics), Physics, Electrical Systems, Engineering Analysis, Electronic Components, Mechanics, Electronic Systems, Mathematical Modeling, Applied Mathematics, Engineering Calculations, Calculus, Advanced Mathematics, Trigonometry, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      209 reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      Imperial College London

      Linear Regression in R for Public Health

      Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, Statistical Software, Statistical Methods, Probability & Statistics, Biostatistics, Epidemiology, Data Import/Export

      4.8
      Rating, 4.8 out of 5 stars
      ·
      520 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Fitting Statistical Models to Data with Python

      Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      702 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      S

      Shanghai Jiao Tong University

      Discrete Mathematics

      Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Computational Thinking, Algorithms, Data Structures, Computer Science

      3.3
      Rating, 3.3 out of 5 stars
      ·
      197 reviews

      Intermediate · Course · 1 - 3 Months

    Linear Algebra learners also search

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    1…171819…56

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

    • Social Media Data Analytics: University of Washington
    • Foundational Mathematics for AI: Johns Hopkins University
    • Probability Theory: Foundation for Data Science: University of Colorado Boulder
    • Electrodynamics: In-depth Solutions for Maxwell’s Equations: Korea Advanced Institute of Science and Technology(KAIST)
    • Kinematics: Describing the Motions of Spacecraft: University of Colorado Boulder
    • Portfolio Selection and Risk Management: Rice University
    • Setting Expectations & Assessing Performance Issues: University of California, Davis
    • Flight mechanics - The basis: ISAE-SUPAERO
    • Introduction to Electricity and Magnetism: Rice University
    • Linear Regression in R for Public Health : 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 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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