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.

Register: https://libcal.lakeheadu.ca/event/3712530