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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
      U

      University of Michigan

      Foundations of Sports Analytics: Data, Representation, and Models in Sports

      Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      188 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Quantum Mechanics for Engineers

      Skills you'll gain: Estimation, Linear Algebra, Physics, Mechanics, Engineering Calculations, Probability, Applied Mathematics, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Differential Equations, Physical Science

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      98 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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
      ·
      349 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Predictive Modeling and Analytics

      Skills you'll gain: Predictive Analytics, Data Visualization, Data Modeling, Business Analytics, Data Analysis, Statistical Modeling, Data-Driven Decision-Making, Regression Analysis, Machine Learning Methods, Supervised Learning, Decision Tree Learning, Data Cleansing, Artificial Neural Networks

      3.6
      Rating, 3.6 out of 5 stars
      ·
      602 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Aprendizaje Activo STEM con Simulaciones Interactivas PhET

      Skills you'll gain: Interactive Learning, Education Software and Technology, Pedagogy, Mathematics Education, Simulation and Simulation Software, Simulations, Interactive Design, Web Content Accessibility Guidelines, Experimentation, User Feedback, Scientific Visualization, Chemistry, Graphing, Physics, Biology, Algebra, Geometry

      4.9
      Rating, 4.9 out of 5 stars
      ·
      689 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      T

      Tsinghua University

      Data Structures and Algorithms (I)

      Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Spatial Analysis, Computational Thinking, Computational Logic, Computer Programming

      3.1
      Rating, 3.1 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      A Blueprint for Success – Your Video Pre-Production

      Skills you'll gain: Video Production, Storyboarding, Storytelling, Videography, Proposal Development, Writing, Editing, Creativity

      4.4
      Rating, 4.4 out of 5 stars
      ·
      59 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      Modern Robotics, Course 2: Robot Kinematics

      Skills you'll gain: Mathematical Modeling, Machine Controls, Automation Engineering, Engineering Calculations, Applied Mathematics, Engineering Analysis, Mechanics, Computational Logic, Simulation and Simulation Software, Virtual Environment, Torque (Physics), Numerical Analysis, Linear Algebra, Trigonometry, Control Systems

      4.9
      Rating, 4.9 out of 5 stars
      ·
      295 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      New York Institute of Finance

      Reinforcement Learning for Trading Strategies

      Skills you'll gain: Reinforcement Learning, Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Markov Model, Machine Learning, Financial Market, Time Series Analysis and Forecasting

      3.5
      Rating, 3.5 out of 5 stars
      ·
      240 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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, Statistics, Python Programming, Descriptive Statistics, Data Modeling, Statistical Modeling, Design Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      400 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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
      ·
      76 reviews

      Intermediate · Course · 1 - 3 Months

    • 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
      ·
      153 reviews

      Intermediate · Course · 1 - 4 Weeks

    Linear Algebra learners also search

    Linear Programming
    Linear Regression
    Predictive Modeling
    Statistical Modeling
    Predictive Analytics
    Data Modeling
    Statistical Analysis
    Beginner Predictive Analytics
    1…212223…55

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

    • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
    • Quantum Mechanics for Engineers: University of Colorado Boulder
    • Differential Calculus through Data and Modeling: Johns Hopkins University
    • Predictive Modeling and Analytics : University of Colorado Boulder
    • Aprendizaje Activo STEM con Simulaciones Interactivas PhET: University of Colorado Boulder
    • Data Structures and Algorithms (I): Tsinghua University
    • A Blueprint for Success – Your Video Pre-Production: University of Colorado Boulder
    • Modern Robotics, Course 2: Robot Kinematics: Northwestern University
    • Reinforcement Learning for Trading Strategies: New York Institute of Finance
    • Introducción a la ciencia de datos aplicada: Universidad de los Andes

    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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