Current instructor
Original student reviews · all captured dates
John was very unorganized and unorthodox in his teaching methods. He doesnt really use canvas, and his website is very unorganized and hard to follow. He had this group quiz idealogy to start the sem, where we would be graded by our random groups table, but couldnt participate together as a group, but all of our scores would be averaged together!Rate My Professors ↗
Lectures are not usefulRate My Professors ↗
Great professor and enjoyed going to class. Teaches the concepts for the exams, but use the practice exams to get a better idea on what will be on the midterm and final.Rate My Professors ↗
john was my favorite professor! I took every single class he taught. he is super kind, and made special accommodations for me when a family member had passed. His office hours were super helpful, I always left feeling much more confident in the material!Rate My Professors ↗
The lecture materials are not hard, and lectures are recorded. The workload is not large compared to CS programming courses. However, you need to review the materials carefully. Some of his exam problems require a bit of intelligence. The curve is very generous.Rate My Professors ↗
Professor Gillett is a nice guy and makes the class no more difficult than it needs to be. He makes the class interesting. He does go a bit fast in lecture, but teaches well.Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Introduction to statistical methods covering distributions, inference, regression, and experimental design.
Offering recorded · Fall 2026
John Gillett is described as charming, kind, and funny, with a genuine desire for student success. Reviewers note that his classes are manageable and exams are straightforward, though one recent review mentions he taught with a new textbook after a long hiatus.
historical GPA · grades
Spring 2022–Spring 2026STAT 303 teaches using the R language to manipulate data and perform exploratory data analysis.
Offering recorded · Fall 2026
John Gillett is praised for accessible online lectures, proactive assistance, and helpful explanations of R applications. Reviewers note his willingness to answer questions and support students with minimal CS experience.
historical GPA · grades
Spring 2022–Spring 2026STAT 405 teaches tools for collecting, managing, and analyzing large data sets using Linux, R, and distributed computing.
Offering recorded · Fall 2026
John Gillett is praised for clear, step-by-step instruction and helpful office hours, with one student calling him their favorite. However, he is noted for assigning heavy, hard homework with strict deadlines, and he was initially unwilling to grant extensions despite accommodations.
historical GPA · grades
Spring 2023–Spring 2026STAT 605 teaches tools for collecting, managing, and analyzing large data sets using Linux, R, and distributed computing.
Offering recorded · Fall 2026
Recent recorded grades — Spring 2025: 3.72 GPA, 88.9% A/AB (n=9 letter grades); Fall 2025: 3.89 GPA, 95.7% A/AB (n=23 letter grades); Spring 2026: 3.82 GPA, 90.9% A/AB (n=11 letter grades). Includes jointly taught sections.
historical GPA · grades
Fall 2022–Spring 2026Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
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