Spring 2027

Data Management for Education Policy Analysis

Data management for education policy analysis focusing on quantitative inquiry skills, including data acquisition, cleaning, organization, and visualization.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 3

Recent recorded grades — Spring 2022: 4.00 GPA, 100.0% A/AB (n=5 letter grades); Spring 2023: 4.00 GPA, 100.0% A/AB (n=10 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=16 letter grades).

What you’ll be able to do

  • Import, merge, and append multiple data sources

  • Structure directories and files to support collaborative inquiry

  • Organize a dataset through the systematic assignment of variable names, variable labels, and value labels

  • Generate and manipulate string and numeric data

  • Clean and troubleshoot data, including the imputation of missing values

  • Collapse and reshape your dataset

  • Generate summary statistics, in tabular and graphic form

  • Use coding strategies, such as loops, logical expressions, locals, and macros, to program efficiently

  • Document data preparation and structure

  • Acquire publicly available data from multiple formats

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
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All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
ELPA 823

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Graduate/professional standing

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

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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 2022: 4.00 GPA, 100.0% A/AB (n=5 letter grades); Spring 2023: 4.00 GPA, 100.0% A/AB (n=10 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=16 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Data acquisition and integration from multiple sources
  • Directory structure and dataset organization
  • Data cleaning, reshaping, and documentation for reproducibility
  • Data summarization via graphs, charts, maps, and tables

Skills

  • Importing, merging, and appending multiple data sources
  • Structuring directories and files for collaborative workflows
  • Cleaning, troubleshooting, and documenting data manipulations
  • Generating summary statistics in visual and tabular forms
  • Using coding strategies like loops and macros for efficient programming

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

Not enough comparable courses for Spring 2027 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.

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Raw records 
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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.

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Dataset & model

Recorded 2026-10-14

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

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "a91a607651b98fba604466a20adf0ec8e363f2515ed9024038c392bdd06b82b6",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}