Main Navigation
Apply Now Request Info


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.

If you should have any questions about this course offering, please contact Graduate & Online Program Coordinator, Alex Peitsmeyer.


STAA 551 (Regression Models and Applications) or concurrent registration or STAR 512/STAT 512 (Design and Data Analysis for Researchers II) or concurrent registration or STAT 512 (Design and Data Analysis for Researchers II); Admission to Master of Applied Statistics program or Graduate Certificate in Data Analysis.

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.