Historical grades cover up to five years through the selected term. Grade sorting prioritizes courses with at least 100 letter grades.
STATISTICAL METHODS FOR BIOSCIENCE I covers statistical inference, ANOVA, regression, and diagnostics for bioscience applications.
Offering recorded · Fall 2026
Historical reviews of Bret Larget, Debraj Das: Exams can be difficult and heavily weighted, with one reviewer noting they covered unseen material, while another found them fair and focused on required knowledge.
historical GPA · grades
Fall 2022–Fall 2025Introduction 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.
historical GPA · grades
Spring 2022–Spring 2026Introduction to statistics for science and engineering covering descriptive statistics, probability, hypothesis testing, linear regression, and ANOVA using R.
Offering recorded · Fall 2026
Homework is time-consuming, taking five to six hours per set, and exams are challenging with a time crunch. Students must spend significant time understanding homework to prepare for tests that may differ from practice problems.
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 998 is a consulting apprenticeship course for graduate or professional students.
Offering recorded · Fall 2026
Historical reviews of Sunduz Keles: Students complete a full consulting process with non-statistical clients, involving training steps and sharing stories with invited data scientists.
historical GPA · grades
Fall 2022–Spring 2026