I did not take stats with him but he subbed for my professor once and I learned more than I had all semesterRate My Professors ↗
Historical instructor
Derek Bean
What students say
Original student reviews · all captured dates
Quality 5/5Difficulty 2/5
Quality 4/5Difficulty 4/5
Derek is a good professor and 421 has useful content. There is a lot of homework, so the experience may be unpleasant if you have a heavy schedule. There were two take home exams without time limits, which I thought was an stress-free way to assess your learning. The readings aren't necessary to succeed as long as your keep up with lectures.Rate My Professors ↗
Quality 1/5Difficulty 4/5
I have so much homework! I've never seen an assignment question that actually contains two entire large questions from the textbook.Rate My Professors ↗
Quality 1/5Difficulty 3/5
LOTS OF HOMEWORK. We received five large assignments weekly, with each assignment containing five or more sub-questions. My review is factual and free of any profanity or derogatory terms, but it appears someone reported it despite my effort to share an honest experience.Rate My Professors ↗
Quality 4/5Difficulty 4/5
Derek is passionate about stats and is great at breaking down concepts in lecture. He doesn't post any notes or recordings online though, so it's important to go. He's helpful and patient during office hours and replies quickly on piazza & email. His exams are difficult (which is reflected in the low means), but he curved the class quite a bit.Rate My Professors ↗
Quality 5/5Difficulty 3/5
His lectures were really good (besides the coding demos). Attendance doesn't matter and all lecture notes/code on Canvas for you to use. The class was 66% homework (13 assigns total/4-6+ hr/week) and 2 take-home exams that aren't too bad. The HW is relentless, but it taught me R better than all my other stats classes and was my second to last one.Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Classes with Derek Bean
An introductory course covering distributions, measures of central tendency, hypothesis testing, confidence intervals, regression, correlation, and experimental design.
Offering recorded · Fall 2026 · Sources
historical GPA · grades
Spring 2022–Spring 2026STAT 421
Applied Categorical Data Analysis
Credits unavailableApplied Categorical Data Analysis covers contingency tables, association measures, and logistic/Poisson regression using R to analyze categorical response data.
Offering recorded · Fall 2026 · Sources
historical GPA · grades
Fall 2022–Fall 2025Recorded teaching history
Explore courses taught by this instructor →Browse recorded courses
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
Instructor identity & provenance
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