This course provides an introduction to statistical model building including simple linear regression, non-linear models, logistic regression, and multiple regression models. Optionally, an instructor may include an introduction to artificial neural net models. Examples of modeling problems will be use from a variety of disciplines and thus the course should be useful to students interested in physical sciences, biology, economics, finance, and data science.
Semesters: Fall, Spring
MnTC Goals: 4