Fall 2026

Data Visualization & Cloud Technologies

Provides experience in data visualization and cloud technologies for business analytics, including building data warehouses, analyzing big data, and deploying machine learning models.

offering recorded2 credits
Recorded instructors · Fall 2026 No instructors listed

Summary

1 / 2

Recent recorded grades — Spring 2025: 3.90 GPA, 97.6% A/AB (n=41 letter grades); Fall 2025: 3.85 GPA, 90.0% A/AB (n=40 letter grades); Spring 2026: 3.87 GPA, 91.3% A/AB (n=23 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 graduate Business Exchange program. Not open to students with credit forGEN BUS 720 or 780.

    • Graduate/professional standing
    • declared in graduate Business Exchange program
    • not eligible with
    take all
GENBUS 883 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
  • All of
    • Graduate/professional standing
    • declared in graduate Business Exchange program
    • Not eligible with

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

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

Recent recorded grades — Spring 2025: 3.90 GPA, 97.6% A/AB (n=41 letter grades); Fall 2025: 3.85 GPA, 90.0% A/AB (n=40 letter grades); Spring 2026: 3.87 GPA, 91.3% A/AB (n=23 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Data visualization and cloud technologies
  • Scalable data warehouses and big data analysis
  • Machine learning model development and deployment

Skills

  • Create and share compelling data visualizations
  • Build scalable data warehouses, analyze big data, and develop and deploy machine learning models

Grades

Latest available · Spring 2026— 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 Spring 2026

More grade details Grade mix, volume & source data

Not enough comparable courses for Fall 2026 in UW–Madison.

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
GENBUS 883 · Fall 2026

Data Visualization & Cloud Technologies

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": "1272:231:026422",
    "course_id": "GENBUS 883",
    "course_uid": "course_04e99793b32064d1d2d6fa22",
    "term_id": "1272",
    "source_course_id": "026422",
    "source_subject_id": "231",
    "title": "Data Visualization & Cloud Technologies",
    "credits_min": 2,
    "credits_max": 2,
    "typically_offered": "Not Applicable"
  }
]
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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.

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": "9a9fd1decd7148f06604f6683de6b082da67fb5547c021461eec2f390a4703a0",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}