STAA 566 - Data Visualization Methods

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


Admission to MAS program or admission to Graduate Certificate in Theory and Applications of Regression Models or Graduate Certificate in Data Analysis or instructor permission.

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.


Ander Wilson

(970) 491-2295 |

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