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Where to start: data cleaning

Data cleaning, or the work of making a dataset ready for analysis, is a key componenet of learning to use data well (in fact, the adage goes that 80% of the work of a data professional is data cleaning!). 

By the end of this workshop, you will be able to:

  • Describe what motivates researchers to clean their data and the practical circumstances that require data cleaning
  • Identify, access, and compare/contrast tools for learning how to clean data, including applications, software, code languages and instructional pathways. Tools and resources discussed include: Open Refine, Tableau Prep, Python, MOOCs, and Free Code Camp.

This workshop is a part of the "where to start" data workshop series. This means that the point of the session is not to deliver a step-by-step tutorial. Instead, we aim to help you to identify the best resources to begin a sustainable, practical journey to the form of data literacy that best suits your needs. Each workshop is a stand-alone experience, though they are offered in an intentional sequence.


Note:  This session will be held online via Zoom. A confirmation with a link to the session will be emailed to you after registration.

Thursday, March 9, 2023
12:00pm - 1:00pm

Registration is required. There are 35 seats available.

Event Organizer

Nicole Stradiotto

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