Select one of the options below:
Regularization, prediction, regression, classification and clustering. Students will learn to implement modern statistical techniques for analyzing the types of data that would be encountered by statisticians working in business, medicine, science and government.
Note: R programming skills (CSSA) are expected.
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; STAA 561 (Probability with Applications)
Please check the CSU Bookstore for textbook information. Textbook listings are available at the CSU Bookstore about 3 weeks prior to the start of the term.