Fall 2026

Consumer Insights

Consumer Insights teaches quantitative data analysis with an emphasis on descriptive and inferential statistics applied to consumer research.

offering recorded3 credits

Summary

1 / 3

Recent recorded grades — Spring 2025: 3.71 GPA, 88.1% A/AB (n=226 letter grades); Fall 2025: 3.56 GPA, 81.0% A/AB (n=284 letter grades); Spring 2026: 3.61 GPA, 82.5% A/AB (n=275 letter grades).

Grade history

average GPA
letter grades
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AB
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BC
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All recorded terms · compare terms & instructors

Prerequisites

Course map

(STAT 301, 371,C&E SOC/​SOC 360,PSYCH 210,ECON 310,GEN BUS 306, or GEOG 360) and (GEN BUS 106 or A A E 335)

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 1.78/5 from 9 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.

Recent recorded grades — Fall 2025: 3.46 GPA, 70.5% A/AB (n=78 letter grades). Includes jointly taught sections.

Recent recorded grades — Fall 2025: 3.67 GPA, 88.7% A/AB (n=151 letter grades); Spring 2026: 3.69 GPA, 86.8% A/AB (n=68 letter grades). Includes jointly taught sections.

Recent recorded grades — Fall 2023: 3.54 GPA, 81.8% A/AB (n=66 letter grades); Fall 2024: 3.71 GPA, 87.5% A/AB (n=80 letter grades); Spring 2025: 3.70 GPA, 88.6% A/AB (n=149 letter grades). Includes jointly taught sections.

Recent recorded grades — Fall 2025: 3.65 GPA, 86.5% A/AB (n=74 letter grades); Spring 2026: 3.60 GPA, 83.8% A/AB (n=68 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

BELKIS CERRATO CACERES is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

MELODY HARVEY is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

NAFSANIATH FATHEMA is recorded teaching in Spring 2023, Fall 2023, Fall 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.

SIHYUN LEE is recorded teaching in Fall 2025, Spring 2026. 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
LEC 002Classroom Instruction75 / 750
LEC 001Classroom Instruction72 / 750
LEC 003Online Only75 / 750
LEC 004Online Only73 / 750

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

Meeting source records

Student experience

the class

Recent recorded grades — Spring 2025: 3.71 GPA, 88.1% A/AB (n=226 letter grades); Fall 2025: 3.56 GPA, 81.0% A/AB (n=284 letter grades); Spring 2026: 3.61 GPA, 82.5% A/AB (n=275 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Descriptive and inferential statistics
  • Quantitative data analysis
  • Consumer research applications

Skills

  • Quantitative data analysis using descriptive and inferential statistics.
  • Application of statistical methods to consumer research contexts.

Grades

Historical instructor

Fall 2026 · Projected

Before grades are released

average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.11 GPA average error.

Grades over time

Through Fall 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · 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

1283 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.

Selected offering source records
CNSRSCI 201 · Fall 2026

Consumer Insights

Recorded 2026-09-07
Raw records
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:271:024394",
    "course_id": "CNSRSCI 201",
    "course_uid": "course_5b03739520d8d0f6aba32236",
    "term_id": "1272",
    "source_course_id": "024394",
    "source_subject_id": "271",
    "title": "Consumer Insights",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

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No records available.

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "31f0d2c06128c6e4e83b3a5f1d229d308eb46e3d43c4b18a0405f226deed5efb",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}