Fall 2026

Data Science with R

STAT 433 teaches an iterative data science process using R, covering data collection, wrangling, analysis, and communication.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

1 / 5

Historical reviews of Karl Rohe: Reviewers characterize the course as easy with low effort required, though one student felt their time was misused due to disorganization.

Grade history

↗
average GPA
letter grades
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All recorded terms · compare terms & instructors

Prerequisites

Course map

(STAT 333 or 340) and (MATH 320, 340, 341, 345, or 375), graduate/professional standing, or declared in Statistics VISP

STAT 433

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

Historical reviews of Karl Rohe: Karl Rohe is described as knowledgeable and passionate, with students finding his classes enjoyable and easy. However, reviews also cite disorganization, lack of planning, and unclear explanations due to tangents. Some students felt their time was misused, while others appreciated the freedom to explore data independently.

KARL ROHE is recorded teaching in Fall 2021, Fall 2022. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.

Meeting source records

No records available.

Student experience

the class

Historical reviews of Karl Rohe: Karl Rohe is described as knowledgeable and passionate, making the class enjoyable and easy, though some find his teaching disorganized or unclear.

Recent recorded grades — Fall 2021: 3.56 GPA, 78.9% A/AB (n=57 letter grades); Fall 2022: 4.00 GPA, 100.0% A/AB (n=63 letter grades).

difficulty & workload

Historical reviews of Karl Rohe: Reviewers characterize the course as easy with low effort required, though one student felt their time was misused due to disorganization.

Historical reviews of Karl Rohe: Students appreciate Rohe's passion and the freedom to explore data, though tangents are noted as a characteristic of his teaching style.

Topics

  • Data collection and wrangling
  • Statistical and machine learning tools
  • Data science stances

Skills

  • Computational tools in R
  • Agile coding and project execution
  • Iterative data science workflow

Grades

Latest available · Fall 2022— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2022

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2022 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1216 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records

No offering records for the selected term.

Raw records 
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "8c02e87b39dd3cb97fde52f7fb710a04aacacb601a3324d05c614e91735ab0dd",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}