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.

Download part 1
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"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

No records available.

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
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
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
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"
}