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
Introduction to statistical methods covering distributions, inference, regression, and experimental design.
No offering record · Spring 2026
with this instructor · course overall, matching historical terms
historical GPA · grades
Fall 2021–Spring 2026Recorded teaching history
Distinct courses recorded per term
Explore courses taught by this instructor →Browse recorded courses
| Term | Course | Title |
|---|---|---|
| Spring 2026 | STAT 301 | Introduction to Statistical Methods |
| Fall 2025 | STAT 421 | Applied Categorical Data Analysis |
| Fall 2024 | STAT 421 | Applied Categorical Data Analysis |
| Fall 2023 | COMPSCI/STAT 403 | Internship Course in Comp Sci and Data Science |
| Fall 2023 | STAT 311 | Introduction to Theory and Methods of Mathematical Statistics I |
| Fall 2022 | STAT 421 | Applied Categorical Data Analysis |
| Spring 2022 | STAT 627 | Professional Skills in Data Science |
| Fall 2021 | STAT 421 | Applied Categorical Data Analysis |
| Fall 2020 | STAT 312 | Introduction to Theory and Methods of Mathematical Statistics II |
| Spring 2020 | STAT 421 | Applied Categorical Data Analysis |
| Spring 2020 | STAT 627 | Professional Skills in Data Science |
| Fall 2019 | STAT 303 | R for Statistics I |
| Fall 2019 | STAT 304 | R for Statistics II |
| Fall 2019 | STAT 305 | R for Statistics III |
| Fall 2019 | STAT 312 | Introduction to Theory and Methods of Mathematical Statistics II |
| Fall 2019 | STAT 324 | Introduction to Statistics for Science and Engineering |
| Fall 2019 | STAT 421 | Applied Categorical Data Analysis |
| Spring 2019 | STAT 311 | Introduction to Theory and Methods of Mathematical Statistics I |
| Spring 2019 | STAT 312 | Introduction to Theory and Methods of Mathematical Statistics II |
| Spring 2019 | STAT 324 | Introduction to Statistics for Science and Engineering |
| Spring 2019 | STAT 371 | Introductory Applied Statistics for the Life Sciences |
| Spring 2019 | STAT 479 | Special Topics in Statistics |
| Spring 2019 | STAT 627 | Professional Skills in Data Science |
| Fall 2018 | STAT 311 | Introduction to Theory and Methods of Mathematical Statistics I |
| Fall 2018 | STAT 324 | Introduction to Statistics for Science and Engineering |
| Fall 2018 | STAT 371 | Introductory Applied Statistics for the Life Sciences |
| Fall 2018 | STAT 421 | Applied Categorical Data Analysis |
| Spring 2018 | STAT 610 | Introduction to Statistical Inference |
| Fall 2017 | STAT 609 | Mathematical Statistics I |
| Spring 2017 | STAT 371 | Introductory Applied Statistics for the Life Sciences |
| Spring 2017 | STAT 610 | Introduction to Statistical Inference |
| Fall 2016 | STAT 301 | Introduction to Statistical Methods |
| Spring 2016 | STAT 610 | Introduction to Statistical Inference |
| Fall 2015 | F&WECOL/STAT 571 | Statistical Methods for Bioscience I |
| Spring 2015 | MATH/STAT 310 | Introduction to Probability and Mathematical Statistics II |
| Spring 2015 | STAT 610 | Introduction to Statistical Inference |
| Fall 2014 | STAT 312 | Introduction to Theory and Methods of Mathematical Statistics II |
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
Instructor identity & provenance
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