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    • Computer Graphics

    Computer Graphics Courses Online

    Explore computer graphics for creating visual content. Learn about rendering, shading, and graphics programming using OpenGL and DirectX.

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    Explore the Computer Graphics Course Catalog

    • U

      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34K reviews

      Intermediate · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Big Data, Git (Version Control System), Data Integration, Knitr, Data Analysis, Data Sharing, Statistical Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Interaction Design

      Skills you'll gain: Design Research, Interaction Design, User Experience Design, Statistical Analysis, Usability, Ideation, User Research, Graphic and Visual Design, User Interface (UI) Design, Experimentation, Prototyping, Human Centered Design, A/B Testing, Usability Testing, User Centered Design, Mockups, Human Computer Interaction, Human Factors, Collaborative Software, Telecommuting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Web Scraping, Relational Databases, Stored Procedure, Databases, Computer Programming Tools, Automation, Data Analysis Software, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71K reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Plotly, Machine Learning Algorithms, Plot (Graphics), Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Advanced Computer Vision with TensorFlow

      Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Applied Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Visualization (Computer Graphics), Data Processing, Network Architecture

      4.7
      Rating, 4.7 out of 5 stars
      ·
      520 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Python for Everybody

      Skills you'll gain: Web Scraping, Data Processing, Relational Databases, JSON, Database Design, SQL, Network Protocols, Databases, Web Services, Restful API, Data Modeling, Programming Principles, Data Structures, Data Collection, Data Visualization Software, Data Manipulation, Computer Programming, Python Programming, Data Import/Export, Software Installation

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      277K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Linux Commands, Unit Testing, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Development Environment, Version Control, File Management, Jupyter, Software Engineering, Software Development Tools, Application Deployment, Collaborative Software, Automation, Flask (Web Framework), Web Scraping, Python Programming, Software Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      47K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      DevOps, Cloud, and Agile Foundations

      Skills you'll gain: Agile Software Development, Cloud Computing Architecture, Cloud Services, Agile Methodology, DevOps, Kanban Principles, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Computing, Agile Project Management, Cloud-Native Computing, User Story, Cloud Storage, Sprint Retrospectives, Sprint Planning, Workflow Management, CI/CD, Test Driven Development (TDD), Scrum (Software Development)

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

      Beginner · Specialization · 3 - 6 Months

    • M

      Microsoft

      Introduction to Computers

      Skills you'll gain: Business Software, Computer Hardware, Hardware Architecture, Generative AI, Operating Systems, Data Storage Technologies, Data Loss Prevention, Computer Systems, Enterprise Security, Information Technology, OS Process Management, System Configuration, Microsoft Windows, Technical Support, Servers, Cybersecurity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      693 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Applied Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Jupyter, Matplotlib, Data Analysis, Pandas (Python Package), Data Manipulation, Seaborn, Data Import/Export, Predictive Modeling, Web Scraping, Automation, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Crash Course on Python

      Skills you'll gain: Programming Principles, Scripting, Python Programming, Computer Programming, Computational Thinking, Algorithms, Data Structures, Integrated Development Environments, Debugging, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39K reviews

      Beginner · Course · 1 - 3 Months

    Computer Graphics learners also search

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    In summary, here are 10 of our most popular computer graphics courses

    • Applied Data Science with Python: University of Michigan
    • Data Science: Foundations using R: Johns Hopkins University
    • Interaction Design: University of California San Diego
    • Data Science Fundamentals with Python and SQL: IBM
    • Data Science: Johns Hopkins University
    • Advanced Computer Vision with TensorFlow: DeepLearning.AI
    • Python for Everybody: University of Michigan
    • Applied Software Engineering Fundamentals: IBM
    • DevOps, Cloud, and Agile Foundations: IBM
    • Introduction to Computers: Microsoft

    Frequently Asked Questions about Computer Graphics

    Computer Graphics are a branch of Computer Science that deals with generating images with the aid of computers. They can be created via image processing, video and photo editing, artificial intelligence, and other computer-based design systems. These images are either rastered (composed through a grid of individual pixels) or vectored (composed through mathematical relationships between points and paths).

    Common applications of Computer Graphics include CGI animation, augmented reality, graphical user interfaces, 3D rendering, scene modeling, and many others. They’re important to learn about for individuals interested in career paths in art, media, design, development, science, and various others.‎

    Because Computer Graphics are part of Computer Science, such roles tend to be in-demand. The ability to work with Computer Graphics opens up learners to a wide variety of opportunities, and the role they land can depend on whatever medium is their specialty. In a blog post revealing seven high-paying fields in the design industry, InVision shares that Multimedia Art and Animation professionals earn an average of $63,800 per year, while the field is expected to grow eight percent through 2026.

    Roles where knowledge of Computer Graphics is useful include Digital Artist, Computer Programmer, Animator, Film Editor, Graphic Designer, Internet Technologies Manager, Media Specialist, Product Designer, Software Developer, Teacher, Webmaster, Website Designer, and a wide variety of others.‎

    Lessons on Computer Graphics that are covered through Coursera equip learners with knowledge in supporting visual problem solving; harnessing one’s creativity; enhancing graphical user interfaces; understanding tools for 2D drawings and 3D animations; and more.

    Some courses explicitly cover Computer Graphics, while for others, you may need to search the medium or field in which you hope to create them (e.g. Animation or Graphic Design).

    Computer Graphics and related lessons are taught by instructors from major tech names and universities, including the University of Tokyo. Learners can enjoy exploring Computer Graphics with instructors specializing in Computer Science, User Interfaces, Interactive Computer Graphics, and other disciplines. Course content on Computer Graphics is delivered via video lectures, hands-on projects, readings, quizzes, and other types of assignments.‎

    Although the requirements may vary from course to course, in general, you need to have strong computer skills, a good grasp of physics, and a strong foundation in mathematics, including linear algebra, before learning computer graphics. Some beginner-level courses may teach you coding and programming, but having some experience in that area can be helpful too. As you progress in your coursework, you'll develop skills like interaction design and 3D computer graphics. Depending on the direction you take, you may also gain skills in game design and development, virtual reality, and robotics.‎

    Having a streak of creativity and a passion for computer-based design are two of the qualities found among those best suited for roles in computer graphics. Other qualities that many employers look for include having an innate sense of curiosity, an appreciation for the details that make up the big picture, open-mindedness, strong communication skills, and the passion and drive that will fuel each project. Roles in computer graphics can be found across multiple industries, including architecture, engineering, web technology development, computer-aided design, animation, and graphic design.‎

    If you're interested in trying your hand at developing video games, creating computer programs and applications, or creating images, then learning computer graphics might be a good move for you. Courses in this subject cover a variety of aspects of the field, including graphic design, 3D modeling, animation, and game development. Additionally, computer graphics and interactivity can be a tool to help people solve problems visually. Some graphics courses will help you develop skills to not only create interactive tools, but also to enhance graphical user interfaces and leverage elements of design to create images.‎

    Online Computer Graphics courses offer a convenient and flexible way to enhance your knowledge or learn new Computer Graphics skills. Choose from a wide range of Computer Graphics courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Computer Graphics, 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.

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