Fall 2026

Data Technology for Business Analytics

GENBUS 760 teaches data analytics technologies, including data extraction, transformation, and programming for web data collection.

offering recorded2–3 credits
Recorded instructors · Fall 2026 Jinan LinMaoxia Zeng

Summary

1 / 3

Recent recorded grades — Spring 2025: 3.58 GPA, 80.0% A/AB (n=30 letter grades); Fall 2025: 3.86 GPA, 94.1% A/AB (n=101 letter grades); Spring 2026: 3.69 GPA, 84.4% A/AB (n=32 letter grades).

Grade history

↗
average GPA
letter grades
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AB
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BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
GENBUS 760 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
  • Graduate/professional standing

Professors

Fall 2026

Recent recorded grades — Fall 2024: 3.68 GPA, 80.7% A/AB (n=114 letter grades); Fall 2025: 3.94 GPA, 97.4% A/AB (n=78 letter grades).

Historical instructors & teaching patterns

JINAN LIN is recorded teaching in Fall 2024, Fall 2025. 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 010Classroom Instruction24 / 350
LEC 011Classroom Instruction24 / 300

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 — Spring 2025: 3.58 GPA, 80.0% A/AB (n=30 letter grades); Fall 2025: 3.86 GPA, 94.1% A/AB (n=101 letter grades); Spring 2026: 3.69 GPA, 84.4% A/AB (n=32 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Data extraction from databases, applications, and social networks
  • Data transformation and integration
  • Web data collection and advanced data analysis libraries

Skills

  • Extracting structured and unstructured data
  • Transforming, combining, and loading data
  • Using programming languages for web data collection and advanced analysis

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

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.

Download part 1
Selected offering source records
GENBUS 760 · Fall 2026

Data Technology for Business Analytics

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": "1272:231:025348",
    "course_id": "GENBUS 760",
    "course_uid": "course_05bf90f93cd632fab7dab908",
    "term_id": "1272",
    "source_course_id": "025348",
    "source_subject_id": "231",
    "title": "Data Technology for Business Analytics",
    "credits_min": 2,
    "credits_max": 3,
    "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": "44d0afb80f0a66901fe2811da3c7449ba8c471668147110aab4a6db78b236498",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}