This is for STAT 456. He can be very passive aggressive at times. He often over explains and makes it more confusing. The final is not appropriate and is done in R, even though there is very minimal R done in this course, so he just expects everyone to be a master at it.Rate My Professors ↗
Historical instructor
JOSHUA CAPE
What students say
Original student reviews · all captured dates
The textbook he provides is really good. The exam questions are interesting and closely related to his lecture content.Rate My Professors ↗
The course is beneficial. It involves advanced research topics but is delivered in a way easy to understand for the students. Prof. Cape is nice and gives good grades.Rate My Professors ↗
I paid $6,400 just to listen to this man read directly from the textbook. If I learned one thing from this class it is that you need absolutely zero teaching skills to teach a class.Rate My Professors ↗
That's how I become a part of JihadiRate My Professors ↗
He just copy and read the book in his lecture without any clear examples. The textbook is also bullshit. Don't waste your time and money on him.Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Classes with JOSHUA CAPE
Applied Multivariate Analysis
Credits unavailableSTAT 456 teaches multivariate statistical learning methods for analyzing complex datasets, covering dimension reduction, clustering, and classification using R.
No offering record · Spring 2026
with this instructor · course overall, matching historical terms
historical GPA · grades
Spring 2023–Spring 2026Research
1–12 creditsSTAT 990 is an independent research and writing course for graduate students under faculty supervision.
No offering record · Spring 2026
No recorded grade history
Recorded teaching history
Distinct courses recorded per term
Explore courses taught by this instructor →Browse recorded courses
| Term | Course | Title |
|---|---|---|
| Spring 2026 | STAT 456 | Applied Multivariate Analysis |
| Spring 2026 | STAT 990 | Research |
| Fall 2025 | STAT 679 | Special Topics in Statistics |
| Fall 2025 | STAT 990 | Research |
| Fall 2025 | STAT 992 | Seminar |
| Spring 2025 | STAT 351 | Introductory Nonparametric Statistics |
| Spring 2025 | STAT 699 | Directed Study |
| Spring 2025 | STAT 990 | Research |
| Fall 2024 | STAT 610 | Introduction to Statistical Inference |
| Fall 2024 | STAT 990 | Research |
| Spring 2024 | STAT 990 | Research |
| Fall 2023 | STAT 610 | Introduction to Statistical Inference |
| Fall 2023 | STAT 760 | Multivariate Analysis I |
| Fall 2023 | STAT 990 | Research |
| Spring 2023 | STAT 990 | Research |
| Spring 2023 | STAT 992 | Seminar |
| Fall 2022 | STAT 610 | Introduction to Statistical Inference |
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
Instructor identity & provenance
{
"instructor_uid": "instructor_4e3d02c381227810f056d301",
"source": "madgrades",
"source_instructor_id": "6490392",
"identity_basis": "source_id",
"identity_status": "source_identified",
"name": "JOSHUA CAPE",
"email": null,
"first_observed_at": "2026-09-06 23:14:58.172943+00:00",
"last_observed_at": "2026-09-07 15:55:43.033547+00:00",
"ratings": {
"review_count": 6,
"quality": 2.5,
"difficulty": 3.5,
"quality_count": 6,
"difficulty_count": 6,
"profile_id": "rmp:2835627",
"source_url": "https://www.ratemyprofessors.com/professor/2835627",
"match_basis": "exact_name",
"observed_at": "2026-09-07 16:30:08.006263+00:00",
"courses": {
"course_821b8b9c055e8ecd0e25a516": {
"review_count": 1,
"quality": 5,
"difficulty": 1,
"quality_count": 1,
"difficulty_count": 1
}
},
"bayesian_quality": 3.392065987343535,
"prior_mean": 3.6596857835465957,
"prior_weight": 20
},
"grade_statistics": {
"gpa": 3.533,
"graded": 224,
"counts": [
88,
77,
51,
6,
1,
0,
1
],
"sections": 19
},
"current": false,
"courses": [],
"revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"instructor_url": "/instructors/JOSHUA_CAPE--instructor_4e3d02c381227810f056d301"
}