Spring 2027

Introduction to Statistical Consulting

Introduction to Statistical Consulting develops skills to communicate design and analysis to non-technical research collaborators through practical experimentation and potential internships.

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

Summary

What you’ll be able to do

  • summarize findings with graphs and non-technical writing

  • ask questions to reveal problem design and study details

  • present design, analysis approach and findings orally in plain language

  • manage time and project workflow effectively

  • contribute as an active member of a research team

Source: UW Guide

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Prerequisites

Course map

Declared in Statistics MS

  • Declared in Statistics MS
STAT 678

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  • Declared in Statistics MS

Professors

Spring 2027

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Calendar & sections

Spring 2027

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Student experience

the class

Develop statistical consulting skills to be able to communicate design and analysis to non-technical research collaborators. Provides a supportive environment to experiment with statistical consulting in practice, which will sometimes be uncomfortable and strange. Consulting problems typically do not have a "right" answer, and mistakes are encouraged. Take risks in sharing developing ideas in class. Connections with external organizations, such as the private sector and government agencies, will be made through possible internship experiences.

difficulty & workload

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Topics

  • Statistical consulting skills
  • Internship experiences with external organizations
  • Problem design and study details

Skills

  • Statistical consulting and communication of design and analysis to non-technical collaborators
  • Summarizing findings using graphs and non-technical writing
  • Asking questions to reveal problem design and study details
  • Presenting design, analysis approach, and findings orally in plain language
  • Managing time and project workflow effectively
  • Contributing as an active member of a research team

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Sources & history

UW–Madison

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Model & dataset provenance
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  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "2d52435c795e97f07eab8f21f3aa53f51b5e427b40a9b1d1eebbc04396961aac",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}