Data Science Modeling I
4 creditsSTAT 240 introduces reproducible data science modeling and statistical inference using R and R Markdown.
Offering recorded · Fall 2026
historical GPA · grades
Spring 2022–Spring 2026Current instructor
Original student reviews · all captured dates
No unambiguous review-profile match is available.
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
STAT 240 introduces reproducible data science modeling and statistical inference using R and R Markdown.
Offering recorded · Fall 2026
historical GPA · grades
Spring 2022–Spring 2026Introduction to mathematical statistics covering probability, distributions, the central limit theorem, and estimation.
Offering recorded · Fall 2026
Recent recorded grades — Fall 2025: 3.09 GPA, 34.8% A/AB (n=69 letter grades); Spring 2026: 2.86 GPA, 37.7% A/AB (n=69 letter grades). Includes jointly taught sections.
historical GPA · grades
Spring 2022–Spring 2026Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
{
"instructor_uid": "instructor_17b187b651e80b27b58da58d",
"source": "enrollment",
"source_instructor_id": "hcao65",
"identity_basis": "netid",
"identity_status": "source_identified",
"name": "Haoqun Cao",
"email": "HCAO65@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",
"current": true,
"courses": [
{
"course_uid": "course_03f8aaae24bac7658b319ca8",
"course_id": "STAT 240",
"title": "DATA SCIENCE MODELING I",
"credits_min": 4,
"credits_max": 4,
"gpa": 3.355
},
{
"course_uid": "course_1b76508145789f8fbc49d1fa",
"course_id": "STAT 311",
"title": "INTRODUCTION TO THEORY AND METHODS OF MATHEMATICAL STATISTICS I",
"credits_min": 3,
"credits_max": 3,
"gpa": 3.213
}
],
"revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"instructor_url": "/instructors/HAOQUN_CAO"
}