• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Online Degrees
  • Careers
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Matrix

    Matrix Courses Online

    Study matrix theory for applications in mathematics and engineering. Learn about matrix operations, eigenvalues, and matrix decomposition.

    Skip to search results

    Filter by

    Subject
    Required
     *

    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Explore the Matrix Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Black-box and White-box Testing

      Skills you'll gain: Cucumber (Software), Gherkin (Scripting Language), Software Testing, Testability, Test Case, Behavior-Driven Development, Code Coverage, Acceptance Testing, Unit Testing, Functional Testing, Test Automation, Requirements Analysis, Java Programming

      3.8
      Rating, 3.8 out of 5 stars
      ·
      112 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      INSEAD

      Blockchain and Business

      Skills you'll gain: Intellectual Property, Blockchain, Business Transformation, Business Leadership, Governance, FinTech, Technology Strategies, Corporate Sustainability, Business, Business Modeling, Business Strategy, Emerging Technologies, Digital Transformation, Innovation, Organizational Structure, Cost Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      421 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning Capstone

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      137 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Esports

      Skills you'll gain: Peer Review, Video Game Development, Professional Development, Contract Negotiation, Media and Communications, Branding, Organizational Structure, Organizational Strategy, Game Design, Recruitment, Journalism, Fundraising, Competitive Analysis, Brand Strategy, Contract Management, Live Streaming, Higher Education, Workforce Planning, Event Planning, Strategic Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      261 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Literacy

      Skills you'll gain: Surveys, Survey Creation, Data Literacy, Data Analysis, Peer Review, Research Design, Statistics, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Research, Probability, Quantitative Research, Statistical Hypothesis Testing, Analytics, Probability Distribution, Analysis, Report Writing, Correlation Analysis, Statistical Inference

      4.6
      Rating, 4.6 out of 5 stars
      ·
      250 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Introducción a la estrategia

      Skills you'll gain: Organizational Strategy, Governance, Corporate Strategy, Organizational Structure, Competitive Analysis, Business Planning, Business Strategy, Environmental Social And Corporate Governance (ESG), Business, Strategic Thinking, Entrepreneurship, Market Analysis, Stakeholder Management, Goal Setting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      526 reviews

      Mixed · Course · 1 - 3 Months

    • É

      École Polytechnique

      Fundamentals of waves and vibrations

      Skills you'll gain: Vibrations, Mechanics, Engineering Analysis, Mathematical Modeling, Mechanical Engineering, Applied Mathematics, Differential Equations, Structural Engineering, Civil Engineering, Matlab, Physics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      202 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Essential English for Business Professionals

      Skills you'll gain: Presentations, English Language, Verbal Communication Skills, Communication, Non-Verbal Communication, Entrepreneurship, Microsoft PowerPoint, Business Communication, Sales, Interpersonal Communications, Project Management, Business Leadership, Productivity Software, Crisis Management, Organizational Structure, Marketing, Business, Vocabulary, Telecommuting, Human Resources

      4.7
      Rating, 4.7 out of 5 stars
      ·
      185 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Back-End Developer Capstone

      Skills you'll gain: Back-End Web Development, Django (Web Framework), Git (Version Control System), Full-Stack Web Development, Server Side, API Design, Application Development, Restful API, Unit Testing, MySQL, User Accounts, Software Testing, Web Applications, Databases

      4.6
      Rating, 4.6 out of 5 stars
      ·
      160 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Global sustainability and corporate social responsibility: Be sustainable

      Skills you'll gain: Business Ethics, Corporate Sustainability, Environmental Social And Corporate Governance (ESG), Governance, Business Management, Corporate Strategy, Ethical Standards And Conduct, Business Strategy, Business, Supply Chain, Environmental Issue, Economic Development, Entrepreneurship, Organizational Structure, Innovation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      445 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      ITIL V4 Certification Preparation

      Skills you'll gain: Service Management, Information Technology Infrastructure Library, Customer experience improvement, IT Service Management, Change Control, IT Management, Information Technology Architecture, Technical Management, Service Level, Security Management, Enterprise Architecture, Continuous Improvement Process, Service Improvement, Service Design, Agile Methodology, Governance, Risk Management Framework, Practice Management, Organizational Structure, Strategic Partnership

      4.9
      Rating, 4.9 out of 5 stars
      ·
      149 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Computer Vision for Engineering and Science

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Applied Machine Learning, Machine Learning, Motion Graphics, Data Mapping, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Geospatial Information and Technology, Feature Engineering, Medical Imaging, Machine Learning Algorithms, Data Validation, Geometric Dimensioning And Tolerancing, Performance Testing, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      87 reviews

      Intermediate · Specialization · 1 - 3 Months

    Matrix learners also search

    Vision
    Computer Vision
    Image Analysis
    Beginner Computer Vision
    Computer Vision Projects
    Advanced Computer Vision
    Image Processing
    Image Classification
    1…222324…66

    In summary, here are 10 of our most popular matrix courses

    • Black-box and White-box Testing: University of Minnesota
    • Blockchain and Business: INSEAD
    • Machine Learning Capstone: IBM
    • Esports: University of California, Irvine
    • Data Literacy: Johns Hopkins University
    • Introducción a la estrategia: Universidad Nacional Autónoma de México
    • Fundamentals of waves and vibrations: École Polytechnique
    • Essential English for Business Professionals: University of California, Irvine
    • Back-End Developer Capstone : Meta
    • Global sustainability and corporate social responsibility: Be sustainable: Macquarie University

    Frequently Asked Questions about Matrix

    Matrix is a mathematical concept consisting of an array of numbers or expressions arranged in rows and columns. It is used in various fields such as mathematics, computer science, physics, and even biology. In mathematics, matrices are employed in solving systems of linear equations, representing transformations, and analyzing data. In computer science, matrices are used to process images, manipulate graphical objects, and solve complex algorithms. Understanding matrices and their operations is beneficial for individuals interested in programming, data science, artificial intelligence, and other related fields.‎

    To learn about Matrix, you typically need to develop skills in the following areas:

    1. Mathematics: A solid understanding of linear algebra, specifically matrix operations and properties, is crucial for working with Matrix.

    2. Programming: Proficiency in a programming language such as Python or MATLAB is important for implementing Matrix algorithms and manipulating matrix data.

    3. Data Analysis: Familiarity with data analysis techniques, including statistical analysis and matrix decompositions, will allow you to utilize Matrix effectively for analyzing and interpreting data.

    4. Machine Learning: Knowledge of machine learning concepts and algorithms can be beneficial when applying Matrix to various machine learning tasks, such as dimensionality reduction or feature extraction.

    5. Problem-solving: Developing strong problem-solving skills will help you approach complex Matrix-related challenges and find optimal solutions.

    6. Critical Thinking: Matrix often requires critical thinking to understand and interpret the results, making analytical and logical reasoning vital.

    It's essential to note that the specific skills needed for Matrix can vary depending on the context in which it is utilized, such as mathematical research, data science, or machine learning.‎

    With Matrix skills, you can pursue a variety of jobs that require proficiency in data analysis, problem-solving, and programming. Some of the potential job roles include:

    1. Data Analyst: Matrix skills are highly valuable in roles where you need to analyze complex datasets, identify patterns, and extract meaningful insights for decision-making.

    2. Data Scientist: Matrix skills play a crucial role in developing machine learning models, statistical analysis, and data visualization to solve real-world problems and drive business strategies.

    3. Quantitative Analyst: Matrix skills are essential for individuals working in finance, as they assist in quantitative research, risk analysis, and building mathematical models for financial investments.

    4. Operations Research Analyst: Matrix skills are beneficial for professionals solving complex optimization problems, such as supply chain management, logistics, or resource allocation.

    5. Business Intelligence Analyst: Matrix skills enable professionals to analyze business data, create data models, and develop dashboards and reports to help organizations make data-driven decisions.

    6. Risk Analyst: Matrix skills are relevant in the field of risk management, where individuals use mathematical modeling and analysis to identify, assess, and mitigate potential risks for businesses.

    7. Machine Learning Engineer: Matrix skills are fundamental for machine learning engineers, as they build and train models using linear algebra techniques and perform matrix manipulation for data preparation and feature engineering.

    8. Statistician: Matrix skills are essential for statisticians who work on statistical analysis, hypothesis testing, and experimental design, ensuring accurate interpretations of data.

    9. Research Scientist: Matrix skills are valuable for research scientists working in various domains, such as physics, chemistry, or biology, as these skills aid in data analysis and mathematical modeling.

    10. Software Developer: Matrix skills can be applied in software development, especially for tasks like image processing, computer graphics, and simulation, where linear algebra plays a key role.

    These are just a few examples, but Matrix skills have broad applications across industries and offer numerous opportunities in fields involving data analysis, modeling, and problem-solving.‎

    People who are interested in computer science, mathematics, and problem-solving are best suited for studying Matrix. Additionally, individuals with a strong analytical mindset and a passion for understanding complex systems would find studying Matrix fascinating.‎

    There are several topics related to matrices that you can study:

    1. Linear Algebra: Matrix operations and properties are a fundamental part of linear algebra. Studying this subject will give you a deep understanding of matrices and their applications.

    2. Matrix Algebra: This topic focuses specifically on matrix operations, including addition, subtraction, multiplication, and inversion. You can explore various techniques to solve matrix equations and manipulate matrices.

    3. Matrix Transformations: Matrices are used to represent transformations in computer graphics, physics, and other fields. By studying matrix transformations, you can learn about rotations, translations, scaling, and shearing, and understand how matrices are used to achieve these transformations.

    4. Eigenvalues and Eigenvectors: Eigenvalues and eigenvectors are important concepts in linear algebra. You can study how to find eigenvalues and eigenvectors of a matrix and understand their significance in various applications, such as solving differential equations or analyzing networks.

    5. Matrix Decomposition: There are several matrix decomposition techniques like LU decomposition, QR decomposition, Singular Value Decomposition (SVD), and others. Exploring these techniques allows you to break down matrices into simpler forms, enabling efficient computations and insights into matrix properties.

    6. Applications of Matrices: Matrices find applications in various fields, including computer science, statistics, economics, physics, and more. You can study the specific applications of matrices in these domains, such as graph theory, image processing, optimization, data analysis, and machine learning.

    Keep in mind that these topics are interconnected, and a comprehensive understanding of matrices involves exploring all these aspects. You can find relevant online courses, tutorials, and resources on these topics to enhance your knowledge and skills.‎

    Online Matrix courses offer a convenient and flexible way to enhance your knowledge or learn new Matrix is a mathematical concept consisting of an array of numbers or expressions arranged in rows and columns. It is used in various fields such as mathematics, computer science, physics, and even biology. In mathematics, matrices are employed in solving systems of linear equations, representing transformations, and analyzing data. In computer science, matrices are used to process images, manipulate graphical objects, and solve complex algorithms. Understanding matrices and their operations is beneficial for individuals interested in programming, data science, artificial intelligence, and other related fields. skills. Choose from a wide range of Matrix courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Matrix, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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.

    Other topics to explore

    Arts and Humanities
    338 courses
    Business
    1095 courses
    Computer Science
    668 courses
    Data Science
    425 courses
    Information Technology
    145 courses
    Health
    471 courses
    Math and Logic
    70 courses
    Personal Development
    137 courses
    Physical Science and Engineering
    413 courses
    Social Sciences
    401 courses
    Language Learning
    150 courses

    Coursera Footer

    Technical Skills

    • ChatGPT
    • Coding
    • Computer Science
    • Cybersecurity
    • DevOps
    • Ethical Hacking
    • Generative AI
    • Java Programming
    • Python
    • Web Development

    Analytical Skills

    • Artificial Intelligence
    • Big Data
    • Business Analysis
    • Data Analytics
    • Data Science
    • Financial Modeling
    • Machine Learning
    • Microsoft Excel
    • Microsoft Power BI
    • SQL

    Business Skills

    • Accounting
    • Digital Marketing
    • E-commerce
    • Finance
    • Google
    • Graphic Design
    • IBM
    • Marketing
    • Project Management
    • Social Media Marketing

    Career Resources

    • Essential IT Certifications
    • High-Income Skills to Learn
    • How to Get a PMP Certification
    • How to Learn Artificial Intelligence
    • Popular Cybersecurity Certifications
    • Popular Data Analytics Certifications
    • What Does a Data Analyst Do?
    • Career Development Resources
    • Career Aptitude Test
    • Share your Coursera Learning Story

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact
    • Free Courses
    • ECTS Credit Recommendations

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Do Not Sell/Share
    Learn Anywhere
    Download on the App Store
    Get it on Google Play
    Logo of Certified B Corporation
    © 2025 Coursera Inc. All rights reserved.
    • Coursera Facebook
    • Coursera Linkedin
    • Coursera Twitter
    • Coursera YouTube
    • Coursera Instagram
    • Coursera TikTok