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3D Data Visualization for Science Communication

This course is an introduction to 3D scientific data visualization, with an emphasis on science communication and cinematic design for appealing to broad aud...
☆☆☆☆☆ /5
(0 reviews)
2,758 students
Created by
Kalina Borkiewicz

8.9

Classbaze Grade®

N/A

Freshness

N/A

Popularity

8.7

Material

Detailed Analysis »

3D Data Visualization for Science Communication
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Platform: Coursera
Price: check current price
Video: 5h 11m
Language: English

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Classbaze Rating

Classbaze Grade®

8.9 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

We analyzed factors such as the rating and the ratio between the number of reviews and the number of students, which is a great signal of student commitment. If a course does not yet have a rating, we exclude Feedback Score from the overall CourseMarks Score.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

8.7 / 10
Video Score: 8.3 / 10
The course includes 5h 11m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 49 minutes of 559 Data Analysis courses on Coursera.
Detail Score: 7.9 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

5 articles.
0 resource.
0 exercise.
1 tests or quizzes.

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About this course

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  What you need to START the course
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About the course

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.

By the end of this course, you will:
-Develop visualization literacy.
-Learn the practicality of working with spatial data.
-Understand what makes a scientific visualization meaningful.
-Learn how to create educational visualizations that maintain scientific accuracy.
-Understand what makes a scientific visualization cinematic.
-Learn how to create visualizations that appeal to broad audiences.
-Learn how to work with image-making software. (for those completing the Honors track)

What can you learn from this course?

What you need to start the course?

There is no prerequisite, anyone can begin this course.. This course is also great for beginners without any Data Analysis knowledge.

Who is this course is made for?

This course is suitable for beginners.

Are there coupons or discounts for 3D Data Visualization for Science Communication ? What is the current price?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.
The average price is $8.1 of 559 Data Analysis courses. So this course is 100% cheaper than the average Data Analysis course on Coursera.

Will I be refunded if I'm not satisfied with the 3D Data Visualization for Science Communication course?

Coursera offers a 7-day free trial for subscribers.

Are there any financial aid for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who will teach this course? Can I trust Kalina Borkiewicz?

Kalina Borkiewicz has created 1 courses that got 0 reviews which are generally positive. Kalina Borkiewicz has taught 2,758 students and received a average review out of 0 reviews. Depending on the information available, we think that Kalina Borkiewicz is an instructor that you can trust.

Learn everything about

Kalina Borkiewicz

Visualization Programmer
National Center for Supercomputing Applications
University of Illinois at Urbana-Champaign
Kalina is a visualization programmer for the Advanced Visualization Lab at the National Center for Supercomputing Applications. Her primary work involves writing software that processes and visualizes various types of massive scientific data obtained at supercomputer centers. Her most recent work makes scientific visualization tools freely available to artists and scientists, through Ytini- an open-source middleware between the scientific analysis and visualization Python package, yt, and the visual effects software, Houdini. Kalina contributed to the creation of such films as “A Beautiful Planet” (IMAX), “Birth of Planet Earth” (fulldome), and “Seeing the Beginning of Time” (4K).
Kalina Borkiewicz's full profile and courses »
Go to class »

8.9

Classbaze Grade®

N/A

Freshness

N/A

Popularity

8.7

Material

Detailed Analysis »

3D Data Visualization for Science Communication
Go to course »
Platform: Coursera
Price: check current price
Video: 5h 11m
Language: English

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