BSAS R and Statistics Workshop 2017

4th-5th September 2017

University of Cumbria, Fusehill Street, Carlisle, CA1 2HH 

 

            

 

 

 

 

 

 

REGISTER HERE 

BSAS is once again hosting its R and Statistics Workshop

This is a two-day practical techniques course aimed at postgraduate students in the animal sciences, and open to non-student BSAS members, that want to learn R and refresh their knowledge of statistics.

Led by Dr Davina Hill, this hands-on course aims to make statistics clear, straightforward and fun.

The two days will help you understand:

  • how to get started with R
  • simple and multiple regression
  • analysis of variance (Anova)
  • model checking
  • experimental design

This is also a great chance to meet students from around the country working in your research area.

Our workshop is aimed primarily at postgraduate students in animal science, but is also open to scientists in need of a refresher.

Some feedback from previous workshops:
This is a course I would recommend to any postgraduate student struggling with data analysis'
Solid introduction to R, solid overview of statistics in biological studies'
Really enjoyed the course - very worthwhile

Places cost £50 for student BSAS members, which includes lunch, dinner and one night's accommodation. BSAS members can attend the workshop for £50 and Non members for £125, plus accommodation and evening meal costs. 
  
Places are limited to just 25, so book now to avoid disappointment!

About the tutor

Davina Hill is Lecturer in Zoology at the University of Cumbria, with research interests in the effects of weather on dairy production and behaviour, and adaptation to climate change. She holds a PhD from the University of Glasgow and is an Associate Fellow of the Higher Education Academy.  She held postdoctoral positions at the University of the Witwatersrand (Johannesburg) and SRUC (Edinburgh), and was a Visiting Fellow at the University of Zurich.  She currently teaches Research Methods and Data Analysis modules to undergraduates from a range of scientific backgrounds and has been developing and leading the BSAS R and Statistics course since 2013.