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John M. Olin Library, Instruction Rm. 2 & Zoom

Data Cleaning with Python

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.

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DataLab Workshops 

DataLab is a collaboration between Data Services and TRIADS, Bernard Becker Medical Library, TechDen, and DI2 to provide a breadth of workshops from the basics of understanding data to working with data tools. These workshops are open to all WashU affiliates and are held in the fall and spring semesters.