Historical grades cover up to five years through the selected term. Grade sorting prioritizes courses with at least 100 letter grades.
Introduction to statistical methods covering distributions, inference, regression, and experimental design.
Offering recorded · Fall 2026
Workload is described as manageable with straightforward exams, though success requires consistent effort and engagement with the material.
historical GPA · grades
Spring 2022–Spring 2026Applied Regression Analysis covers linear regression for prediction and interpretation, including feature selection, assumption checking, and extensions like mixed and generalized linear models using R.
Offering recorded · Fall 2026
Weekly homework is described as long and unrelated to lectures, while the final project is considered very important and strictly graded. Students report dealing with shifting deadlines and vague test questions that rely on the professor's interpretation.
historical GPA · grades
Spring 2022–Spring 2026STAT 371 introduces applied statistical practice for the life sciences using R, covering EDA, inference, ANOVA, and regression.
Offering recorded · Fall 2026
Historical reviews indicate varied workloads. John Davis reported short homework, whereas Cecile Ane assigned a heavy group project and required extra practice. Vivak Patel's course was noted as highly difficult.
historical GPA · grades
Spring 2022–Spring 2026STAT 699 is a directed study course where students engage in projects arranged with a faculty member.
Offering recorded · Fall 2026
A directed study with Cecile Ane focused on genuine learning and conceptual understanding rather than just completion.
historical GPA · grades
Spring 2022–Spring 2022 · limited sample