Over the last two decades, data visualization has become an exciting and rapidly evolving field of practice, with incredible work being produced across disciplines and at all levels of scientific communication.
By the end of this workshop, you will be able to:

• Describe what motivates researchers to visualize their data,
• Identify, access, and compare/contrast tools for learning how to visualize data, including applications, software, coding languages and instructional pathways. Tools and resources discussed include: Excel/ Google Sheets, Tableau, Python, R, D3.js, Adobe Illustrator and Inkscape.

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.