Spring 2027

Data Management for Social Science Research

This course covers data structure, evaluation, cleaning, documentation, visual display, and merging for social science research.

offering recorded3–4 credits
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 6

Past student reviews · Christine Schwartz

Christine Schwartz's course was rated moderately difficult, and a prior STATA background helped, though she assisted students who needed it.

What you’ll be able to do

  • Identify common problems that make social scientific data "messy" and apply techniques to prepare data for use in research using various techniques for data cleaning, cross-checking, addressing missing data.

  • Identify and locate appropriate data sources for applications to real-world research questions.

  • Employ statistical software independently to analyze quantitative data, including writing programs to automate tasks appropriately.

  • Document and communicate about data accurately and professionally; build a portfolio of code and research writing.

  • Apply fundamental data analysis skills, including making tables and visualizing variable distributions.

  • Incorporate open science practices of transparency and reproducibility by creating and managing research projects in standard, replicable formats.

Source: UW Guide 1 UW Guide 2

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

C&E SOC/​SOC 360,PSYCH 210,STAT 301,ECON 310, or MATH/​STAT 310

C&ESOC/SOC 365

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

Prerequisite text tree

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

CHRISTINE SCHWARTZ is recorded teaching in Spring 2014, Fall 2015, Spring 2017, Spring 2018, Spring 2019, Spring 2024. Recorded history may be incomplete and does not establish a future schedule.

JOHN LOGAN is recorded teaching in Fall 2006, Fall 2007, Fall 2008, Fall 2009. 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

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 300
LEC 001Classroom Instruction0 / 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

Past student reviews · John Logan, Christine Schwartz

Christine Schwartz made the curriculum understandable and fair, while John Logan was described by a past student as the worst teacher they had ever had.

Recent recorded grades — Spring 2024: 3.74 GPA, 81.0% A/AB (n=21 letter grades); Spring 2025: 3.59 GPA, 72.7% A/AB (n=11 letter grades); Spring 2026: 2.94 GPA, 22.2% A/AB (n=9 letter grades).

difficulty & workload

Past student reviews · Christine Schwartz

Christine Schwartz's course was rated moderately difficult, and a prior STATA background helped, though she assisted students who needed it.

Past student reviews · Christine Schwartz

Christine Schwartz was friendly in class and office hours, and students appreciated her willingness to talk and her caring approach.

Topics

  • Social scientific data structures and management
  • Open science practices and reproducibility
  • Statistical software automation for quantitative data

Skills

  • Data cleaning, cross-checking, and handling missing data
  • Creating tables and visualizing variable distributions
  • Managing research projects for transparency and reproducibility
  • Locating appropriate data sources for research questions

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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Selected offering source records
C&ESOC/SOC 365 · Spring 2027

Data Management for Social Science Research

Recorded 2026-10-14
C&ESOC/SOC 365 · Spring 2027

Data Management for Social Science Research

Recorded 2026-10-14
Raw records 
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    "offering_id": "1274:864:017575",
    "course_id": "C&ESOC/SOC 365",
    "course_uid": "course_fdc17de55a4b4b47f5c3ac3c",
    "term_id": "1274",
    "source_course_id": "017575",
    "source_subject_id": "864",
    "title": "Data Management for Social Science Research",
    "credits_min": 3,
    "credits_max": 4,
    "typically_offered": "Fall, Spring, Summer"
  },
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:900:017575",
    "course_id": "C&ESOC/SOC 365",
    "course_uid": "course_fdc17de55a4b4b47f5c3ac3c",
    "term_id": "1274",
    "source_course_id": "017575",
    "source_subject_id": "900",
    "title": "Data Management for Social Science Research",
    "credits_min": 3,
    "credits_max": 4,
    "typically_offered": "Fall, Spring, Summer"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "f5d8a3480819332b036899493260f244ac8a5fc00c9a46ca1ecb5b75ad60ec52",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}