Spring 2027

Introductory Analytics for Decision Making

Introduces key stages in gathering and analyzing data for decision making, covering research questions, data collection, sampling, measurement, visualization, and basic statistics.

offering recorded3 credits
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 2

Recent recorded grades — Fall 2024: 4.00 GPA, 100.0% A/AB (n=9 letter grades); Spring 2025: 3.73 GPA, 97.4% A/AB (n=39 letter grades); Spring 2026: 3.84 GPA, 96.8% A/AB (n=31 letter grades).

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing or Declared in Analytics for Decision Making capstone certificate

    • Graduate/professional standing
    • Declared in Analytics for Decision Making capstone certificate
    take one
COMARTS/LIS 705 used by

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

Prerequisite text tree
  • Any of
    • Graduate/professional standing
    • Declared in Analytics for Decision Making capstone certificate

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 00
LEC 002Classroom Instruction0 / 00
LEC 003Online Only0 / 00
LEC 001Classroom Instruction0 / 250
LEC 002Classroom Instruction0 / 50
LEC 003Online Only0 / 400

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

Meeting source records
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Student experience

the class

Recent recorded grades — Fall 2024: 4.00 GPA, 100.0% A/AB (n=9 letter grades); Spring 2025: 3.73 GPA, 97.4% A/AB (n=39 letter grades); Spring 2026: 3.84 GPA, 96.8% A/AB (n=31 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Developing research questions from organizational goals
  • Data collection methods, sampling, and question design
  • Data management and visualization
  • Descriptive and inferential statistics

Skills

  • Developing research questions from organizational goals
  • Choosing appropriate data collection methods
  • Measurement and question design
  • Managing and visualizing data
  • Descriptive and basic inferential statistics (correlations, regressions, ANOVA)

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 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

1280 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
COMARTS/LIS 705 · Spring 2027

Introductory Analytics for Decision Making

Recorded 2026-10-14
COMARTS/LIS 705 · Spring 2027

Introductory Analytics for Decision Making

Recorded 2026-10-14
Raw records 
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    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:250:024890",
    "course_id": "COMARTS/LIS 705",
    "course_uid": "course_d90adcea2857f285f411b80a",
    "term_id": "1274",
    "source_course_id": "024890",
    "source_subject_id": "250",
    "title": "Introductory Analytics for Decision Making",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring"
  },
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:544:024890",
    "course_id": "COMARTS/LIS 705",
    "course_uid": "course_d90adcea2857f285f411b80a",
    "term_id": "1274",
    "source_course_id": "024890",
    "source_subject_id": "544",
    "title": "Introductory Analytics for Decision Making",
    "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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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "19aef15a28b7fe06f4b37ac289bb127e5c741cde9929f4768b99a6bbbcb20311",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}