Peer Led Learning: How to enhance your data analysis using RStudio - Part 2

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Attendance eligibility
Open to PGRs studying at a University Alliance member university. When registering, please use your university email address. Registrations received from any non-UA member university or personal email address will be automatically cancelled.

Session 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
Closing date: 3 working days prior.

Use the Book Now button on this page to register. You can complete your booking via the guest checkout, without having to log in to the website.

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 at least 3 days prior to the session.

If you do not see the Book Now button on this page, registration is closed. 

If you experience any issues registering, please contact dta@unialliance.ac.uk.

Participation and cancellation policy
Please join the meeting on time and stay for the full duration of the session. Keep cameras on during online activities and be prepared to participate in group discussions. 

If you no longer plan to attend, please email dta@unialliance.ac.uk as soon as possible to cancel your place. Repeated non-attendance may result in eligibility to attend future events being removed.