Healthcare Data Visualization

Healthcare Data Visualization

Course
en
English
20 h
This content is rated 4.5 out of 5
Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
More info
  • 4 Sequences
  • Introductive Level

Course details

Syllabus

An overview to the state of the art of interactive data visualization in healthcare. The course will cover data visualization principles, methods, and techniques. Students will understand the wide variety of data visualizations and know what visualizations are appropriate for various types of data and for different goals; learn how how data visualizations use dynamic interaction methods to help users understand data; learn to apply an understanding of human perceptual and cognitive capabilities to the design of data visualizations; develop skills in critiquing different visualization techniques in the context of user goals and objectives; and understand how to design and implement data visualizations.

Prerequisite

None

Instructors

  • Rahul Basole - School of Interactive Computing

Editor

The Georgia Institute of Technology, also known as Georgia Tech or GT, is a co-educational public research university located in Atlanta, Georgia, USA. It is part of the wider University System of Georgia network. Georgia Tech has offices in Savannah (Georgia, USA), Metz (France), Athlone (Ireland), Shanghai (China), and Singapore.

Georgia Tech's reputation is built on its engineering and computer science programmes, which are among the best in the world5,6. The range of courses on offer is complemented by programmes in the sciences, architecture, humanities and management.

Platform

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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