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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

      Coursera Instructor Network

      Advanced Quantitative Statistics with Excel

      Skills you'll gain: Regression Analysis, Microsoft Excel, Statistical Hypothesis Testing, Business Analytics, Data-Driven Decision-Making, Excel Formulas, Data Visualization, Business Analysis, Data Presentation, Business Intelligence, Statistical Analysis, Statistical Methods, Analytics, Spreadsheet Software, Data Analysis, Data Analysis Software, Correlation Analysis, Probability & Statistics, Variance Analysis, Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Foundations of Neural Networks

      Skills you'll gain: Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Applied Machine Learning, Unstructured Data, Linear Algebra, Markov Model, Data-Driven Decision-Making, Natural Language Processing

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Phases of Matter: Solid, Liquid, Gas and Beyond

      Skills you'll gain: Physics, Physical Science, Algebra, Mathematical Modeling, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Time Series Data Visualization And Analysis Techniques

      Skills you'll gain: Time Series Analysis and Forecasting, Data Visualization Software, Statistical Visualization, Plot (Graphics), Box Plots, Anomaly Detection, Heat Maps, Exploratory Data Analysis, Data Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      17 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      T

      The State University of New York

      Player Evaluation, Team Performance and Roster Management

      Skills you'll gain: Performance Analysis, Analytics, Data-Driven Decision-Making, Data Analysis, Scheduling, Labor Relations, Team Performance Management, Linear Algebra, Contract Management, Contract Negotiation, R Programming

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      Statistics with Python Using NumPy, Pandas, and SciPy

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Probability & Statistics, NumPy, Statistical Methods, Probability, Statistics, Probability Distribution, Statistical Analysis, Data Analysis, Histogram, Scatter Plots, Regression Analysis, Pandas (Python Package), Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Modeling Data in the Tidyverse

      Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Predictive Analytics, Statistical Analysis, Rmarkdown, Probability & Statistics, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 3 Months

    • V

      Vanderbilt University

      MATLAB을 사용한 프로그래밍 소개

      Skills you'll gain: Programming Principles, Computer Programming, Matlab, Debugging, Integrated Development Environments, Linear Algebra, Computer Science, Development Environment, User Interface (UI), Data Import/Export, Data Structures, File Management

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Measurement Systems Analysis

      Skills you'll gain: Correlation Analysis, Statistical Visualization, Data Visualization, Scientific Visualization, Process Capability, Statistical Analysis, Systems Analysis, Data Analysis, Run Chart, Box Plots, Systems Of Measurement, Statistical Methods, Regression Analysis, R Programming, Scatter Plots, Statistical Hypothesis Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Crea wireframes digitales con Figma

      Skills you'll gain: Wireframing, Figma (Design Software), Collaborative Software, Prototyping, User Flows, User Interface (UI), UI Components, Information Architecture

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Understanding and Visualization

      Skills you'll gain: Matplotlib, Seaborn, Data Visualization, Data-Driven Decision-Making, Exploratory Data Analysis, Data Presentation, Plot (Graphics), Data Visualization Software, Descriptive Statistics, Data Storytelling, Pandas (Python Package), Statistical Methods, Data Analysis, Statistics, Statistical Analysis, Data Manipulation, Box Plots, Scatter Plots, Correlation Analysis, Histogram

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Spacecraft Formation Relative Orbits

      Skills you'll gain: Control Systems, Vibrations, Systems Engineering, Mechanics, Numerical Analysis, Differential Equations, Mathematical Modeling, Simulation and Simulation Software, Engineering Analysis, Simulations, Advanced Mathematics, Linear Algebra, Engineering Design Process, Engineering Calculations, Applied Mathematics, Physics, Calculus

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Advanced · Specialization · 1 - 3 Months

    Linear Algebra learners also search

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    1…444546…55

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

    • Advanced Quantitative Statistics with Excel: Coursera Instructor Network
    • Foundations of Neural Networks: Johns Hopkins University
    • Phases of Matter: Solid, Liquid, Gas and Beyond: University of Colorado Boulder
    • Time Series Data Visualization And Analysis Techniques : Coursera Project Network
    • Player Evaluation, Team Performance and Roster Management: The State University of New York
    • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
    • Modeling Data in the Tidyverse: Johns Hopkins University
    • MATLAB을 사용한 프로그래밍 소개: Vanderbilt University
    • Measurement Systems Analysis: University of Colorado Boulder
    • Crea wireframes digitales con Figma: Coursera Project Network

    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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