Quality 3/5Difficulty 5/5
Tooooooo much contents for each examRate My Professors ↗
Historical instructor
John Gillett
What students say
Original student reviews · all captured dates
Quality 1/5Difficulty 4/5
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 ↗
Quality 2/5Difficulty 2/5
Lectures are not usefulRate My Professors ↗
Quality 5/5Difficulty 3/5
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 ↗
Quality 5/5Difficulty 3/5
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 ↗
Quality 5/5Difficulty 2/5
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 ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Classes with John Gillett
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 303
R for Statistics I
1 creditsR For Statistics I covers the statistical language R, focusing on manipulating data and performing exploratory data analysis.
Offering recorded · Fall 2026 · Sources
historical GPA · grades
Spring 2022–Spring 2026Data Science Computing Project focuses on tools for collecting, managing, and analyzing large data sets using Linux, R, and distributed computing, with team-based projects involving research, writing, and presentations.
Offering recorded · Fall 2026 · Sources
historical GPA · grades
Spring 2023–Spring 2026Develops tools for collecting, managing, and analyzing large data sets using Linux, R, distributed computing, editors, and git/github through team-based data analysis projects.
Offering recorded · Fall 2026 · Sources
historical GPA · grades
Fall 2022–Spring 2026Recorded 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
{
"instructor_uid": "instructor_4d0f89219b9efbef40920d35",
"source": "enrollment",
"source_instructor_id": "jgillett",
"identity_basis": "netid",
"identity_status": "source_identified",
"name": "John Gillett",
"email": "JGILLETT@WISC.EDU",
"first_observed_at": "2026-09-07 15:55:43.033547+00:00",
"last_observed_at": "2026-09-07 15:55:43.033547+00:00",
"ratings": {
"review_count": 68,
"quality": 4.37,
"difficulty": 2.69,
"quality_count": 68,
"difficulty_count": 68,
"profile_id": "rmp:1567077",
"source_url": "https://www.ratemyprofessors.com/professor/1567077",
"match_basis": "exact_name",
"observed_at": "2026-10-29 23:18:43.191930+00:00",
"courses": {
"course_64851c516bf8195a88f81cc4": {
"review_count": 12,
"quality": 4.42,
"difficulty": 2.92,
"quality_count": 12,
"difficulty_count": 12
},
"course_a420e635de610c245d2c3002": {
"review_count": 3,
"quality": 3.67,
"difficulty": 4,
"quality_count": 3,
"difficulty_count": 3
},
"course_bf80347054c4234ada79c07e": {
"review_count": 2,
"quality": 5,
"difficulty": 2,
"quality_count": 2,
"difficulty_count": 2
},
"course_31fb5b7b6bf20ca63e33bd46": {
"review_count": 21,
"quality": 4.05,
"difficulty": 2.81,
"quality_count": 21,
"difficulty_count": 21
},
"course_9d705456a9a3f278c1b60cc6": {
"review_count": 5,
"quality": 4.8,
"difficulty": 3,
"quality_count": 5,
"difficulty_count": 5
},
"course_06abb97e9793bf858754daa3": {
"review_count": 6,
"quality": 5,
"difficulty": 1.83,
"quality_count": 6,
"difficulty_count": 6
},
"course_1282dc8dbc1e7c5749f7cc41": {
"review_count": 3,
"quality": 2.33,
"difficulty": 4,
"quality_count": 3,
"difficulty_count": 3
}
},
"bayesian_quality": 4.2082413392625195,
"prior_mean": 3.658261892755085,
"prior_weight": 20
},
"current": false,
"courses": [],
"revision": "c9cd06eaa45f9ddf7e69faa38b89ff3d3dd995dd",
"instructor_url": "/instructors/JOHN_GILLETT"
}