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DTSTART:20070311T020000
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DTSTAMP:20261102T112134
DTSTART;TZID=America/Detroit:20261109T130000
DTEND;TZID=America/Detroit:20261109T143000
SUMMARY:Workshop / Seminar:Data Cleaning
DESCRIPTION:Focus: Using AI to support data preparation and quality improvement.Description:\nThis session will examine how AI can help researchers think through data cleaning tasks before formal analysis begins. The emphasis will be on using AI as a support tool to identify inconsistencies\, plan cleaning workflows\, document decisions\, and generate reusable code templates\, while keeping human review central.Possible hands-on activities:Identify common data quality issues in a sample datasetDraft a cleaning plan for missing values\, duplicates\, or formatting inconsistenciesGenerate starter code for basic cleaning steps in PythonCreate a data cleaning log or documentation templateCompare raw and cleaned data examples to assess impactReminder:1. All attendees\, please bring a laptop.2. Sign in at genai.umich.edu to make sure your U-M GPT access is working. 
UID:149475-21906467@events.umich.edu
URL:https://events.umich.edu/event/149475
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:Palmer Commons - Forum Hall
CONTACT:
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