Peer Led Learning: How to enhance your data analysis using Rstudio, A friendly introduction (part 2)

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Workshop overview

Statistical analysis is a fundamental tool for interpreting results, but can be time-consuming and complex. Rstudio is a statistical coding software that can be applied to many forms of data analysis to simplify the process, but it can often be difficult to know where to start.

This 2-part series will first cover how to download the software, basic functions, best practice for coding and go through common visualisation techniques (e.g boxplots, bar charts and linear regressions). The second session will review the common stats methods based on your requests and how to tackle them in Rstudio. These sessions are designed to be accessible for beginners, but all are welcome.

Registration details

Booking deadline: 4 working days prior.

Use the Book Now button to register your attendance. Once registered, you will receive an automatic email confirming your place. Please make a note of the date and time to your diary.

A link to join the session online will be sent to you via email a few days prior to the session.

If the session is fully booked, please contact dta@unialliance.ac.uk to have your name added to the waitlist.

Please note: registration via this website is only for current DTA researchers and DTA alumni. If you register via the site and are not a DTA researcher or alumni, your booking will be cancelled.