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Data Cleaning with Python In-Person / Online

Data can be messy. Researchers commonly lament the amount of time spent preparing data before any analysis can take place. Potential steps for preparing or “cleaning” data include changing data types, adjusting values for consistency and validation, splitting or joining values, and removing extraneous records, to name a few. This workshop will cover some common data-cleaning steps using Python and the Pandas library. Basic knowledge of Python syntax is recommended.

Free and open to all, registration required for Zoom link.

Date:
Monday, March 31, 2025
Time:
1:00pm - 3:00pm
Time Zone:
Central Time - US & Canada (change)
Location:
Olin Library, Instruction Room 2 (Lab)
Audience:
  Community     Faculty     Graduate Students     Library Staff     Staff     Undergraduate Students  

Registration is required. There are 30 in-person seats available. There are 200 online seats available.

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Session Presenter

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Mollie Webb