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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

    • J

      Johns Hopkins University

      Calculus through Data & Modeling: Differentiation Rules

      Skills you'll gain: Calculus, Applied Mathematics, Trigonometry, Advanced Mathematics, Mathematical Modeling, Algebra, Derivatives, Geometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      96 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Global Systemic Risk

      Skills you'll gain: Risk Analysis, Network Analysis, Systems Thinking, World History, International Relations, Financial Systems, Public Health, Governance, Epidemiology, Complex Problem Solving, Economics, Supply Chain

      4.7
      Rating, 4.7 out of 5 stars
      ·
      385 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Data Science Methods for Quality Improvement

      Skills you'll gain: Process Capability, Sampling (Statistics), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Data Visualization, Statistical Methods, Statistical Software, Statistics, Scientific Visualization, Data Analysis, Statistical Analysis, Systems Analysis, Data Analysis Software, Quality Control

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      49 reviews

      Intermediate · Specialization · 3 - 6 Months

    • R

      Rice University

      Data Analysis for Managerial Decision-Making

      Skills you'll gain: Microsoft Excel, Descriptive Statistics, Business Analytics, Box Plots, Probability Distribution, Data Visualization, Probability, Statistics, Business Mathematics, Spreadsheet Software, Data-Driven Decision-Making, Algebra, Bayesian Statistics, Arithmetic, Statistical Analysis, Quantitative Research, Data Analysis, Regression Analysis, Correlation Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Generalized Linear Models and Nonparametric Regression

      Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Advanced Analytics, Statistical Methods, Regression Analysis, Machine Learning, Classification And Regression Tree (CART), Statistical Inference, Probability Distribution

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Linear Kalman Filter Deep Dive (and Target Tracking)

      Skills you'll gain: Advanced Mathematics, Mathematical Modeling, Systems Of Measurement, Linear Algebra, Statistical Methods, Predictive Analytics, Predictive Modeling, Applied Mathematics, Time Series Analysis and Forecasting, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Images and Links in HTML

      Skills you'll gain: Hypertext Markup Language (HTML), Web Design, Web Content, Web Design and Development, Web Development, Information Architecture

      4.7
      Rating, 4.7 out of 5 stars
      ·
      331 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      U

      University of Colorado Boulder

      Statistics and Applied Data Analysis

      Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Statistical Programming, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      32 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Statistics For Data Science

      Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference

      3.9
      Rating, 3.9 out of 5 stars
      ·
      33 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      É

      École Polytechnique Fédérale de Lausanne

      Mécanique de Newton

      Skills you'll gain: Differential Equations, Engineering Analysis, Mechanics, Applied Mathematics, Calculus, Mechanical Engineering, Linear Algebra, Mathematical Modeling, Physics, Geometry, Vibrations, Logical Reasoning, Derivatives

      4.6
      Rating, 4.6 out of 5 stars
      ·
      113 reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google

      Desain UX Google

      Skills you'll gain: Wireframing, Adobe XD, Mockups, Storyboarding, Information Architecture, User Experience Design, Usability Testing, Graphic and Visual Design, Figma (Design Software), Design Elements And Principles, UI/UX Research, Design Reviews, Presentations, Responsive Web Design, User Story, User Interface and User Experience (UI/UX) Design, Cross Platform Development, User Centered Design, Prototyping, Ideation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      508 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • C

      Coursera Project Network

      Graduate Admission Prediction with Pyspark ML

      Skills you'll gain: Data Cleansing, PySpark, Data Processing, Pandas (Python Package), Applied Machine Learning, Predictive Modeling, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    Linear Algebra learners also search

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    1…333435…55

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

    • Calculus through Data & Modeling: Differentiation Rules: Johns Hopkins University
    • Global Systemic Risk : Princeton University
    • Data Science Methods for Quality Improvement: University of Colorado Boulder
    • Data Analysis for Managerial Decision-Making: Rice University
    • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
    • Linear Kalman Filter Deep Dive (and Target Tracking): University of Colorado System
    • Images and Links in HTML: Coursera Project Network
    • Statistics and Applied Data Analysis: University of Colorado Boulder
    • Statistics For Data Science: Coursera Project Network
    • Mécanique de Newton: École Polytechnique Fédérale de Lausanne

    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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