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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

      ISAE-SUPAERO

      Flight mechanics - The basis

      Skills you'll gain: Mechanics, Mechanical Engineering, Simulations, Engineering Calculations, Physics, Applied Mathematics, Energy and Utilities, Engineering Analysis, Algebra, Differential Equations, Systems Of Measurement, Scientific Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      447 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Battery State-of-Charge (SOC) Estimation

      Skills you'll gain: Estimation, Matlab, Simulations, Numerical Analysis, Anomaly Detection, Probability, Performance Tuning, Data Validation, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      CertNexus

      CertNexus Certified Artificial Intelligence Practitioner

      Skills you'll gain: Data Ethics, Unsupervised Learning, Random Forest Algorithm, Data Analysis, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Data Collection, Deep Learning, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Linear Algebra, Applied Machine Learning, Business Ethics, Compliance Management, Learning Strategies, Test Planning, Productivity, Registration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      268 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • U

      University of Colorado Boulder

      Statistical Modeling for Data Science Applications

      Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Probability & Statistics, Advanced Analytics, Correlation Analysis, Forecasting, Data Science, A/B Testing, Machine Learning, Classification And Regression Tree (CART), Linear Algebra

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      52 reviews

      Intermediate · Specialization · 3 - 6 Months

    • M

      Meta

      Data Analytics Methods for Marketing

      Skills you'll gain: Marketing Analytics, Marketing Effectiveness, A/B Testing, Target Audience, Marketing Strategies, Marketing Planning, Customer Analysis, Marketing Channel, Advertising Campaigns, Customer Insights, Sales Process, Regression Analysis, Forecasting, Descriptive Analytics, Key Performance Indicators (KPIs), Return On Investment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      264 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      E

      Edge Impulse

      Computer Vision with Embedded Machine Learning

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Deep Learning, Data Ethics, Machine Learning, Artificial Intelligence, Python Programming, Data Collection, Performance Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 4 Weeks

    • R

      Rice University

      Physics 101 - Forces and Kinematics

      Skills you'll gain: Mechanics, Physics, Engineering Calculations, Mathematical Modeling, Algebra, Calculus, Physical Science, Applied Mathematics, Trigonometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      175 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      New York University

      Guided Tour of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Financial Services, Finance, Tensorflow, Jupyter, Reinforcement Learning

      3.8
      Rating, 3.8 out of 5 stars
      ·
      679 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Georgia Institute of Technology

      Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion

      Skills you'll gain: Mechanics, Torque (Physics), Mechanical Engineering, Engineering Analysis, Differential Equations, Engineering, Linear Algebra, Applied Mathematics, Physics, Trigonometry, Advanced Mathematics, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      310 reviews

      Mixed · Course · 1 - 3 Months

    • 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
      ·
      608 reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Differential Calculus through Data and Modeling

      Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Estimation, Graphing, Mathematical Modeling, Numerical Analysis, Algebra, Trigonometry, Cost Estimation, Mathematical Software, Linear Algebra, Operations Research, Data Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Derivatives, Geometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      346 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Number Theory and Cryptography

      Skills you'll gain: Cryptography, Key Management, Encryption, Public Key Cryptography Standards (PKCS), Cybersecurity, Arithmetic, Algorithms, Theoretical Computer Science, Computational Thinking, Algebra, Applied Mathematics, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      606 reviews

      Beginner · Course · 1 - 4 Weeks

    Linear Algebra learners also search

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    1…181920…54

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

    • Flight mechanics - The basis: ISAE-SUPAERO
    • Battery State-of-Charge (SOC) Estimation: University of Colorado Boulder
    • CertNexus Certified Artificial Intelligence Practitioner: CertNexus
    • Statistical Modeling for Data Science Applications: University of Colorado Boulder
    • Data Analytics Methods for Marketing: Meta
    • Computer Vision with Embedded Machine Learning: Edge Impulse
    • Physics 101 - Forces and Kinematics : Rice University
    • Guided Tour of Machine Learning in Finance: New York University
    • Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion: Georgia Institute of Technology
    • Portfolio Selection and Risk Management: Rice University

    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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