Undergraduate Courses

Below is a list of undergraduate courses that the Department of Statistics offers during the current academic year.

UConn students taking statistics courses have access to a variety of statistical software through the University. Learn more on our Statistical Software page.

Academic Year 2023-2024

3215Q. Applied Linear Regression in Data Science

3.00 credits

Prerequisites: STAT 2215Q or 3025Q or instructor consent. Not open for credit to students who have passed STAT 3115Q or 5315.

Grading Basis: Graded

Applied multiple linear regression analysis in data science, with an emphasis on modern statistical regression methods: simple linear regression and correlation analysis, multiple linear regression, analysis of variance, goodness of fit, comparing regression models through partial and sequential F tests, dummy variables, regression assumptions and diagnostics, model selection and penalized regression, prediction and model validation, principles of design of experiments, one-way and two-way analysis of variance.