STAA 566 - Data Visualization Methods

  • 1 credit
View available sections

Exploratory data analysis using graphics, effective communication with graphs, and data reduction methods. Requires a working knowledge of R computing.


Admission to M.A.S. program or written consent of instructor; This is a partial-semester course.

Important Information

Tuition includes access to lecture recordings which are available by streamed video. Lecture recordings may also be available by download or on DVD. To determine viewing options, contact the Department of Statistics degree program staff at Visit the Department of Statistics website to learn more about what to do after registration, including creating your eID (if necessary) and accessing your course.

- Footer - Landing