This course is an introduction to 3D scientific data visualization, with an emphasis on science communication and cinematic design for appealing to broad audiences. You will develop visualization literacy, through being able to interpret/analyze (read) visualizations and create (write) your own visualizations.
3D Data Visualization for Science Communication
3D Data Visualization for Science Communication
Taught in English
Some content may not be translated
4,123 already enrolled
Beginner level
No prior experience required
Approx. 32 hours to complete
3 weeks at 10 hours a week
Flexible schedule
Learn at your own pace
Details to know
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Assessments
14 quizzes
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There are 6 modules in this course
You will become familiar with the course, your classmates, and our learning environment.
What's included
1 video5 readings1 quiz1 discussion prompt
Week 1 is an introduction to the field of data visualization, as well as related fields like computational science and computer graphics. You will learn about different types of data visualization, and visualization best practices.
What's included
8 videos3 quizzes2 peer reviews1 plugin
Week 2 is all about data - how are spatial data represented in a computer? How is it formatted? Where can you find it, and how do you work with it?
What's included
9 videos4 quizzes2 peer reviews
Week 3 is all about the human side of things. How do people learn? How do we perceive visual information? What makes certain methods of communication and education more effective? How do you find a story in a dataset, and how do you tell that story clearly and concisely?
What's included
9 videos3 quizzes2 peer reviews
Week 4 is about presenting your visualization in an engaging way to broad audiences with techniques like camera design, lighting, compositing, digital cosmetics, and other tricks from Hollywood. You’ll also learn how to package your visualization with sound, titles, and credits, and you’ll learn how to distribute it to various types of audiences.
What's included
8 videos3 quizzes2 peer reviews
Congratulations on reaching the end of the course!
What's included
1 video1 reading1 plugin
Instructors
Recommended if you're interested in Data Analysis
University of California San Diego
Johns Hopkins University
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.