Data Mining Planning and Management
Data Mining Planning and Management prepares students to plan, manage, and assess data mining projects aligned with organizational strategic goals, covering project stages, evaluation frameworks, and data ethics.
Summary
Recent recorded grades — Fall 2023: 3.95 GPA, 100.0% A/AB (n=11 letter grades); Spring 2024: 3.93 GPA, 100.0% A/AB (n=36 letter grades); Fall 2025: 3.79 GPA, 92.9% A/AB (n=14 letter grades).
What you’ll be able to do
formulate questions related to existing organizational goals or challenges, identify sources of data to answer those questions, and design and implement a data analysis plan to answer the questions
demonstrate competency with a range of data collection and analysis techniques and tools appropriate to organizational decision making and assessment including the basics of data mining
effectively communicate the rationale for a data project and the results of their analysis across different types of media and using best practices of textual and visual communications.
articulate the possible information value and the limitations of data and analytics projects including data mining projects based on understanding of data quality, data availability, metadata functionality and other data management issues.
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapL I S/COM ARTS 705
This is a best-effort interpretation; check the catalog requirements above.
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Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
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Meeting source records
Student experience
the class
Recent recorded grades — Fall 2023: 3.95 GPA, 100.0% A/AB (n=11 letter grades); Spring 2024: 3.93 GPA, 100.0% A/AB (n=36 letter grades); Fall 2025: 3.79 GPA, 92.9% A/AB (n=14 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Planning, managing, and assessing data mining projects relative to organizational strategic goals.
- Stages of data mining projects, evaluation frameworks, and principles of data ethics.
- Introductory data mining techniques including clustering, classification, prediction, and network identification.
- Information value, limitations, data quality, availability, metadata functionality, and data management issues.
Skills
- Plan, manage, and assess data mining projects aligned with organizational strategic goals.
- Apply data mining project evaluation frameworks and principles of data ethics.
- Use introductory data mining tools for clustering, classification, prediction, and network identification.
- Communicate data project rationale and analysis results using textual and visual communication best practices.
Grades
Latest available · Fall 2025— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Fall 2025
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
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Raw records
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Student reviews
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Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "489ae27a1a50c877d834b235f16fa4f72bb67cc8400defed760d09eda39484f4",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}