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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

      IBM

      Supervised Machine Learning: Classification

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      407 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Increase SEO Traffic with WordPress

      Skills you'll gain: WordPress, Search Engine Optimization, Blogs, Web Analytics, Web Content, Keyword Research, Information Architecture, Content Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      780 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • Status: New
      New
      M

      Microsoft

      Microsoft Data Visualization

      Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Visualization Software, Data Modeling, Data Governance, Extract, Transform, Load, Interactive Data Visualization, Business Intelligence, Data Analysis, Statistical Analysis, Data Architecture, Correlation Analysis, Data Cleansing, Data Transformation, Database Design, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • 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
      ·
      57 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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

    • U

      Universidad de los Andes

      Ciencia de datos​

      Skills you'll gain: Data Ethics, Data Integration, Exploratory Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Correlation Analysis, Data Visualization Software, Classification And Regression Tree (CART), Data Quality, Data Science, Jupyter, Data Analysis, Data Transformation, Data Cleansing, Business Analytics, Data Manipulation, Supervised Learning, Statistical Analysis, Regression Analysis, Applied Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      508 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Colorado Boulder

      Basic Elements of Design: Design Principles and Software Overview

      Skills you'll gain: Design Elements And Principles, Graphic Design, Design, Visual Design, Typography, Adobe InDesign, Content Creation, Design Research, Information Architecture, Adobe Photoshop

      4.7
      Rating, 4.7 out of 5 stars
      ·
      982 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Text Retrieval and Search Engines

      Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Web Analytics and SEO, Machine Learning, Information Architecture, Statistical Methods, Algorithms, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      959 reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Precalculus through Data and Modelling

      Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, Analytical Skills, R Programming, General Mathematics, Statistics, Algebra, Systems Of Measurement, Regression Analysis, Correlation Analysis, Calculus, Geometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      303 reviews

      Beginner · Specialization · 3 - 6 Months

    • 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
      ·
      652 reviews

      Beginner · Specialization · 3 - 6 Months

    • W

      Wesleyan University

      Data Analysis and Interpretation

      Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Decision Tree Learning, Data Manipulation, Data Management, Data Analysis, Predictive Modeling, Data Visualization, Data Literacy, Random Forest Algorithm, SAS (Software), Statistical Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Machine Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling

      Build toward a degree

      3.5
      Rating, 3.5 out of 5 stars
      ·
      112 reviews

      Intermediate · Specialization · 3 - 6 Months

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    1…171819…54

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

    • Supervised Machine Learning: Classification: IBM
    • Increase SEO Traffic with WordPress: Coursera Project Network
    • Microsoft Data Visualization: Microsoft
    • A Blueprint for Success – Your Video Pre-Production: University of Colorado Boulder
    • Modern Robotics, Course 2: Robot Kinematics: Northwestern University
    • Ciencia de datos​: Universidad de los Andes
    • Basic Elements of Design: Design Principles and Software Overview: University of Colorado Boulder
    • Text Retrieval and Search Engines: University of Illinois Urbana-Champaign
    • Precalculus through Data and Modelling: Johns Hopkins University
    • Aprendizaje Activo STEM con Simulaciones Interactivas PhET: University of Colorado Boulder

    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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