This training event is now fully booked. If you would like to be added to the wait list, please contact training@earlham.ac.uk.
This hands-on workshop teaches fundamental data skills needed for anyone that deals with data and datasets. You will learn basic concepts, skills, and tools for working more effectively with data. The aim is to get researchers doing more in less time, and with less pain!
We will cover:
- data organisation in spreadsheets
- data cleaning
- SQL (Structured Query Language)
- the command line
- R for data analysis
- visualisation using biological examples
By the end of the workshop, learners should be able to more effectively manage and analyse data and apply the tools and approaches directly to their ongoing research.
This four-day workshop will be delivered virtually, via Zoom, with input from 10:00-15:00 GMT, including breaks (see programme and further information tabs for more details).
Who is this event for?
Researchers in the life science and computational science disciplines. We particularly encourage PhD students and postdoctoral scientists to attend, but the course is open to everyone, at any stage of their career.
The course is aimed at complete beginners; trainees are expected to have no prior knowledge of the tools or computational experience before attending. However, we will cover a lot of material and the training is quite fast paced, so be prepared to fully immerse yourself in the world of data management and analysis!
How to register
Registration is currently reserved for certain groups. If you are interested in attending, please email training@earlham.ac.uk with a short expression of interest, explaining why you would like to attend the course. If places are available you will be provided with a password to complete the form. Please note that we expect this training to be highly popular, and for places to fill up before the registration deadline, so if you are interested please do express your interest as soon as possible.
This training forms part of our BBSRC National Capability in Advanced Training
