The Department is running another series of statistics workshops in 2018 designed mostly for University postgraduates and staff. For some workshops a limited number of places may be available for external participants.
7 to 9 February 2018 (Tilman Davies)
R is the world’s most popular computing language for data exploration and statistical modelling. This is offset to some extent by its rather steep learning curve, so before you even begin summarising your data, it's essential to be comfortable with the language and the virtual structures you’ll utilise in your research pursuits. Even if you have no programming experience and little more than a basic grounding in mathematics, this full 3-day workshop aims to get you comfortable with R as a programming environment, by understanding key commands and the treatment of important objects. The workshop is based on the coordinator’s recently released book The Book of R a copy of which each attendee receives as part of their registration. More information about the book (opens in new tab). Parts I and II will be the main focus in the workshop, with additional/replacement topics possible as per audience requests.
June/July 2018 (Austina Clark and Ting Wang)
Learn the basics of statistical modelling in R beyond what is provided in a standard 100-level introduction course. This 3-day workshop assumes a working knowledge of R and basic statistics. The material covered includes linear models (with examples from experimental designs), generalised linear models, model selection and model-checking.