Statistics Data Clinic (IN-PERSON)
Date: 1 December 2025 @ 14:00 - 17:30
Note: This iteration of the course is currently not open for booking. However, please register your interest here to be notified when spaces become available. Your registration ensures you will be the first to know.
The data clinic is an opportunity for people who have already attended our taught courses to:
- apply what you've learned from the courses to your own data
- with the support and advice of trainers (and peers) in the room
Note that this is not a statistics consultancy session - think of it more like office hours! Our trainers will discuss your analysis with you and provide advice and suggestions, but will not run any analyses on your behalf.
To get the most out of the clinic, we expect that you will have already tried some analyses, and familiarised yourself with your data and experimental design, before you arrive.
If you do not have a University of Cambridge Raven account please book or register your interest here.
If for any reason the above links do not work, please email Research Informatics Training Team with details of your course enquiry.
Additional information
- ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
- Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
- Attendance will be taken on all courses and a charge is applied for non-attendance. After you have booked a place, if you are unable to attend any of the live sessions, please email the Research Informatics Training Team.
- Further details regarding eligibility criteria are available here.
- Guidance on visiting Cambridge and finding accommodation is available here.
Keywords: HDRUK
Venue: Craik-Marshall Building
City: Cambridge
Country: United Kingdom
Postcode: CB2 3AR
Organizer: University of Cambridge
Host institutions: University of Cambridge Bioinformatics Training
Target audience: This is a follow-up session dedicated specifically for students & staff who have attended Models and/or Models, who would like additional help applying the course content to their own data. Please review the policies.
Event types:
- Workshops and courses
Activity log