Historical instructor

JOHN GILLETT

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.39/5 from 67 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

What students say

Original student reviews · all captured dates

STAT 451
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!
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STAT 451
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.
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STAT 405
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!
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STAT 451
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.
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STAT 451
Quality 5/5Difficulty 2/5
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.
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with JOHN GILLETT

STAT 303

R for Statistics I

1 credits

STAT 303 teaches using the R language to manipulate data and perform exploratory data analysis.

No offering record · Spring 2026

with this instructor · course overall, matching historical terms

John GillettBo Yang+2 more

historical GPA · grades

Fall 2021–Spring 2026
STAT 405

Data Science Computing Project

3 credits

STAT 405 teaches tools for collecting, managing, and analyzing large data sets using Linux, R, and distributed computing.

No offering record · Spring 2026

with this instructor · course overall, matching historical terms

John GillettMing Pei

historical GPA · grades

Spring 2023–Spring 2026
STAT 451

Introduction to Machine Learning and Statistical Pattern Classification

3 credits

Covers pattern classification, regression, clustering, and dimensionality reduction with a focus on statistical evaluation and Python implementation.

No offering record · Spring 2026

with this instructor · course overall, matching historical terms

John GillettBaiheng Chen

historical GPA · grades

Fall 2021–Spring 2026
STAT 605

Data Science Computing Project

3 credits

STAT 605 teaches tools for collecting, managing, and analyzing large data sets using Linux, R, and distributed computing.

No offering record · Spring 2026

with this instructor · course overall, matching historical terms

John GillettMing Pei

historical GPA · grades

Fall 2021–Spring 2026

Recorded teaching history

Distinct courses recorded per term

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Spring 2026STAT 303R for Statistics I
Spring 2026STAT 405Data Science Computing Project
Spring 2026STAT 451Introduction to Machine Learning and Statistical Pattern Classification
Spring 2026STAT 605Data Science Computing Project
Fall 2025STAT 303R for Statistics I
Fall 2025STAT 451Introduction to Machine Learning and Statistical Pattern Classification
Fall 2025STAT 605Data Science Computing Project
Spring 2025STAT 301Introduction to Statistical Methods
Spring 2025STAT 405Data Science Computing Project
Spring 2025STAT 451Introduction to Machine Learning and Statistical Pattern Classification
Spring 2025STAT 605Data Science Computing Project
Fall 2024STAT 303R for Statistics I
Fall 2024STAT 451Introduction to Machine Learning and Statistical Pattern Classification
Fall 2024STAT 605Data Science Computing Project
Spring 2024STAT 371Introductory Applied Statistics for the Life Sciences
Spring 2024STAT 405Data Science Computing Project
Spring 2024STAT 451Introduction to Machine Learning and Statistical Pattern Classification
Spring 2024STAT 605Data Science Computing Project
Fall 2023STAT 451Introduction to Machine Learning and Statistical Pattern Classification
Fall 2023STAT 605Data Science Computing Project
Spring 2023STAT 371Introductory Applied Statistics for the Life Sciences
Spring 2023STAT 405Data Science Computing Project
Spring 2023STAT 451Introduction to Machine Learning and Statistical Pattern Classification
Spring 2023STAT 605Data Science Computing Project
Fall 2022STAT 324Introduction to Statistics for Science and Engineering
Fall 2022STAT 451Introduction to Machine Learning and Statistical Pattern Classification
Fall 2022STAT 605Data Science Computing Project
Spring 2022FINANCE 310Data Analytics for Finance
Spring 2022STAT 451Introduction to Machine Learning and Statistical Pattern Classification
Spring 2022STAT 479Special Topics in Statistics
Fall 2021STAT 324Introduction to Statistics for Science and Engineering
Fall 2021STAT 605Data Science Computing Project
Fall 2020STAT 324Introduction to Statistics for Science and Engineering
Fall 2020STAT 605Data Science Computing Project
Spring 2020STAT 371Introductory Applied Statistics for the Life Sciences
Fall 2019STAT 371Introductory Applied Statistics for the Life Sciences
Fall 2019STAT 605Data Science Computing Project
Spring 2019STAT 371Introductory Applied Statistics for the Life Sciences
Fall 2018STAT 371Introductory Applied Statistics for the Life Sciences
Fall 2018STAT 679Special Topics in Statistics
Spring 2018STAT 371Introductory Applied Statistics for the Life Sciences
Fall 2017STAT 371Introductory Applied Statistics for the Life Sciences
Fall 2017STAT 679Special Topics in Statistics
Spring 2017STAT 679Special Topics in Statistics
Fall 2016STAT 371Introductory Applied Statistics for the Life Sciences
Spring 2016STAT 371Introductory Applied Statistics for the Life Sciences
Fall 2011STAT 324Introduction to Statistics for Science and Engineering
Spring 2010STAT 301Introduction to Statistical Methods
Fall 2009COMPSCI 412Introduction to Numerical Methods

Teaching history may be incomplete. Course pages contain course-specific feedback and citations.

Instructor identity & provenance 
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