Scientific Visualization

Scientific Visualization is a series of techniques used to create graphic representations of scientific data. Coursera's Scientific Visualization skill catalogue teaches you how to interpret complex data sets and transform them into visually engaging and understandable graphics. You'll learn about various tools and techniques used in data visualization such as creating charts, graphs, infographics, and 3D models. The curriculum also covers the principles of good design and color theory, and how to apply them to effectively communicate complex data. By the end of the courses, you'll be able to create powerful visual narratives that can help scientists, researchers, and decision-makers better understand and act on the data at hand.
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Results for "scientific visualization"

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: Unity Engine, Animations, Visualization (Computer Graphics), 3D Assets, Software Design Patterns, Video Game Development, Object Oriented Programming (OOP), User Interface (UI), Application Performance Management, Game Design, Virtual Environment, Software Development Tools, Software Design, Computer Graphics, Performance Tuning, Scientific Visualization, Data Validation, Real Time Data, Scripting, C# (Programming Language)

    Intermediate · Specialization · 3 - 6 Months

  • Coursera Project Network

    Skills you'll gain: Bioinformatics, Scientific Visualization, Data Access, Extensible Markup Language (XML), Data Visualization, Data Import/Export, Data Manipulation, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    44 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free

    Coursera Project Network

    Skills you'll gain: AI Personalization, Data Analysis, Generative AI, Exploratory Data Analysis, OpenAI, Data Manipulation, Prototyping, Text Mining, Pandas (Python Package), Applied Machine Learning, Interactive Data Visualization, Scientific Visualization, Python Programming, Dimensionality Reduction, NumPy

    Intermediate · Guided Project · Less Than 2 Hours