• 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
     *

    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Explore the Matrix Course Catalog

    • U

      University of Toronto

      Introduction to Self-Driving Cars

      Skills you'll gain: Control Systems, Embedded Software, Automation, Software Architecture, Simulations, Safety Assurance, Hardware Architecture, Systems Architecture, Verification And Validation, Mathematical Modeling, Engineering Analysis, Computer Hardware, Risk Management Framework, Mechanics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      B

      Birla Institute of Technology & Science, Pilani

      Basic Mathematics

      Skills you'll gain: Integral Calculus, Calculus, Trigonometry, Algebra, Differential Equations, Linear Algebra, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      139 reviews

      Beginner · Course · 1 - 3 Months

    • I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Jupyter, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Stanford University

      Organizational Analysis

      Skills you'll gain: Organizational Structure, Decision Making, Organizational Leadership, Organizational Change, Professional Networking, Strategic Decision-Making, Business, Social Sciences, Culture, Sociology, Analysis, Resource Management, Learning Theory, Innovation, Negotiation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Amsterdam

      Methods and Statistics in Social Sciences

      Skills you'll gain: Qualitative Research, Scientific Methods, Descriptive Statistics, Statistical Analysis, Statistical Hypothesis Testing, Research, Sampling (Statistics), Probability Distribution, Correlation Analysis, Research Design, Research Reports, Science and Research, Interviewing Skills, Data Analysis, Probability, Data Collection, Statistical Inference, Social Sciences, Statistical Methods, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Using Python to Interact with the Operating System

      Skills you'll gain: Bash (Scripting Language), Development Testing, Scripting, Unix Shell, Software Testing, Shell Script, Linux Commands, Test Driven Development (TDD), Unix Commands, Unix, Scripting Languages, Development Environment, Operating Systems, Command-Line Interface, File Management, OS Process Management, Data Import/Export, IT Automation, File Systems, Automation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Data Ethics, Applied Machine Learning, Computer Vision, Machine Learning, Unsupervised Learning, Artificial Intelligence, Information Privacy, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of California, Irvine

      Initiating and Planning Projects

      Skills you'll gain: Stakeholder Management, Conflict Management, Project Management, Project Planning, Project Management Life Cycle, Project Documentation, Project Scoping, Project Coordination, Organizational Structure, Influencing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University at Buffalo

      Computer Vision Basics

      Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Visualization (Computer Graphics), Data Processing, Digital Design, Artificial Intelligence, Matlab, Linear Algebra, Algorithms, Calculus, Probability & Statistics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • W

      Workday

      Workday Basics Series

      Skills you'll gain: Workday (Software), Business Process, Workflow Management, Business Reporting, System Configuration, Role-Based Access Control (RBAC), Enterprise Security, Organizational Structure, Data Access, Multi-Tenant Cloud Environments

      4.8
      Rating, 4.8 out of 5 stars
      ·
      274 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      M

      Meta

      What is the Metaverse?

      Skills you'll gain: Augmented and Virtual Reality (AR/VR), Augmented Reality, Diversity and Inclusion, Virtual Reality, Blockchain, Emerging Technologies, Virtual Environment, Virtual Teams, Digital Assets, E-Commerce, Collaborative Software, Data Ethics, Content Creation, Technology Roadmaps, Infrastructure Architecture, Business Ethics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • V

      Vanderbilt University

      MATLAB Programming for Engineers and Scientists

      Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Matlab, Machine Learning Methods, Algorithms, User Interface (UI), Applied Machine Learning, Object Oriented Programming (OOP), Statistical Methods, Mathematical Software, Engineering Calculations, Data Analysis, Data Processing, Engineering Analysis, Computer Programming, Programming Principles, UI Components, Software Design, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 Months

    Matrix learners also search

    Vision
    Computer Vision
    Image Analysis
    Beginner Computer Vision
    Computer Vision Projects
    Advanced Computer Vision
    Image Processing
    Image Classification
    1…567…65

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

    • Introduction to Self-Driving Cars: University of Toronto
    • Basic Mathematics: Birla Institute of Technology & Science, Pilani
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London
    • Organizational Analysis : Stanford University
    • Methods and Statistics in Social Sciences: University of Amsterdam
    • Using Python to Interact with the Operating System: Google
    • Generative Adversarial Networks (GANs): DeepLearning.AI
    • Initiating and Planning Projects: University of California, Irvine
    • Computer Vision Basics: University at Buffalo
    • Workday Basics Series: Workday

    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
    • Manage Cookie Preferences
    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