Analysing your own data: a workshop on statistics and experimental design - implementation (IN-PERSON) NewSpecial£
This optional extra day builds on what we learned in the main event on 15-19 April.
During the day we will have additional trainers available to help you implementing the skills and concepts that you have learned during the previous week. We encourage participants to send a brief explanation of their research to us before the session, together with a snippet of their data. This way we can prepare additional resources, where applicable.
To ensure sufficient support on the day, we encourage participants to register for this additional session before the start of the main event. However, if you are unsure at the moment and decide you would like to join during the week itself then this is of course possible too!
If you do not have a University of Cambridge Raven account please book or register your interest here.
- The course is aimed at people at postgraduate level who are involved in research.
- Applicants are expected to have a working knowledge of R.
- The course is open to Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
- Further details regarding eligibility criteria are available here
- Guidance on visiting Cambridge and finding accommodation is available here.
Please note that all participants attending this course will be charged a registration fee. The fees are as follows:
- Industry participants (non-academic) pay £120
- Members of the University of Cambridge and participants from other academic institutions pay £60
⚠ Bookings are only approved once you have a confirmed booking for the main event.
- Attended the main event.
Number of sessions: 1
| # | Date | Time | Venue | Trainers | |
|---|---|---|---|---|---|
| 1 | Thu 25 Apr 09:30 - 17:00 | 09:30 - 17:00 | Bioinformatics Training Facility - The Pembroke Teaching Rooms | map | Martin van Rongen, V.J. Hodgson |
Statistics, Experimental Design, R
During this course you will:
- Analyse your own research data
- Discuss experimental design challenges
- Get feedback on your analytic research methods
- Ask questions about your data
After this course you should have:
- A clear strategy for analysis your data
- Be able to identify limitations of your data
- Insight into what your data is telling you
Demonstrations, discussions and individual support.
There will be regular breaks, with coffee/tea and biscuits provided throughout the day.
A lunch break is scheduled around 12:30 - 13:30.
Further information on catering will be provided closer to the start of the course.
1
Booking / availability