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.