Historical grades cover up to five years through the selected term. Grade sorting prioritizes courses with at least 100 letter grades.
STAT 240 introduces reproducible data science modeling and statistical inference using R and R Markdown.
Offering recorded · Fall 2026
Students report that exams are significantly harder than lectures and homework, with unclear instructions and arbitrary difficulty. Self-study is often necessary due to the disconnect between taught material and assessments.
historical GPA · grades
Spring 2022–Spring 2026Introduction 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 340 teaches data exploration, modeling, and analysis using R, covering probability, simulation, hypothesis testing, Bayesian inference, regression, and machine learning techniques.
Offering recorded · Fall 2026
Reviewers consistently report that exams are extremely difficult, often unrelated to lectures or homework, with low averages and insufficient time for paper-based tests.
historical GPA · grades
Spring 2022–Spring 2026STAT 605 teaches tools for collecting, managing, and analyzing large data sets using Linux, R, and distributed computing.
Offering recorded · Fall 2026
historical GPA · grades
Fall 2022–Spring 2026