We may earn an affiliate commission when you visit our partners.

Data Visualization

Ross Maciejewsk, Huan Liu, and K. Selcuk Candan

Visual representations generated by statistical models help us to make sense of large, complex datasets through interactive exploration, thereby enabling big data to realize its potential for informing decisions. This specialization covers techniques and algorithms for creating effective visualizations based on principles from graphic design, visual art, perceptual psychology, and cognitive science to enhance the understanding of complex data.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Help others find this collection page by sharing it with your friends and followers:

Facebook

Copy Link

What's inside

Save this collection

Save Data Visualization to your list so you can find it easily later:

Save

Time

0 hours

Via

Coursera

Institution

Arizona State University

Instructors

Ross Maciejewsk

Huan Liu

K. Selcuk Candan

Share and help others discover this collection.

Facebook

Link

Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.