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.
Introduction to mathematical statistics covering probability, distributions, the central limit theorem, and estimation.
Offering recorded · Fall 2026
Historical reviews of Amy Beyler, Derek Bean, Yaoguo Xie: Workload and difficulty vary significantly by instructor. Some report high-quality materials and fair tests, while others describe difficult exams and a need for extensive self-study to gain solid knowledge.
STAT 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.
STAT 601 provides a thorough grounding in modern statistical methods, covering data collection, exploration, probability, and analysis.
Offering recorded · Fall 2026
Historical reviews of Vivak Patel: Reviewers describe a heavy workload with difficult projects and expect students to do significant independent work, noting that graduate-level rigor requires hard work.