Advancing computational and data literacy skills schools for life scientists
Training in computational and data literacy skills for research.
Designed for PhD students and early career researchers. Delivered by world leading experts in the field of computational and data literacy teaching.
Students will use the Museum’s iconic “behind the scenes” collections as a case study.
The course consists of short lectures, computer practicals and a unique opportunity to put skills into practice using data gathered in the Museum’s “behind the scenes” collections.
There will also be optional evening activities where participants can network with each other, and with members of London’s data science community.
The course aims to:
Train participants in data literacy skills
- efficient collection of data and metadata for future analyses
- data wrangling, tidying, and organisation in R
- data visualisation and analysis in R
Teach participants basic tools for reproducible science
- reproducible report creation
- version control
Introduce participants to Open Science principles and procedures
- data archiving options and best practice
- code sharing options and best practice
Introduce participants to the fundamentals of programming
- programming basics in R
- the principles of tidy code and code review
Create a community of data literate scientists
- conduct innovative and effective research using their data literacy skills
- transfer these skills to their peers and beyond
Dates and times
A five day course:
4-8th June 2018
Application deadline: 20 March 2018
Cost: £400 per student (including 5 nights accommodation in London, travel allowance, breakfast, lunch and tea/coffee)
How to apply
There are a maximum of 20 places available per course and priority will be given to those with BBSRC funding.
Download and complete the application form (Word 23KB) and return it to the address listed on the form.