7 August 2020
Statistics with R and RStudio
We are exposed to statistical data on a daily basis in the form of opinion polls, economic forecasts, reports on the effect of diet and lifestyle on life expectancy and disease risk, debates over the evidence for climate change, among others. This module introduces statistics and the free software R/RStudio to students with no previous knowledge of mathematics beyond high school level. The module also assesses the uses, misuses and limitations of statistical methods. Topics range from basic descriptive statistics to more advanced topics including multivariate analysis, logistic regression, and model optimisation. As additional skills, students are introduced to professional-standard plotting resources, basic programming functions in R, and the user-friendly RStudio interface.
Dr Lucio Vinicius joined UCL Anthropology in 2012, having been previously an Affiliated Lecturer and Research Fellow at Cambridge University (2002-11) and a Research Fellow at the Max Planck Institute (2011-12).
This is a level one module (equivalent to first year undergraduate). Students must have completed one year of undergraduate study. No prior subject knowledge is required for this module, but students are expected to have a keen interest in the area.
The aim of the module is to provide a general introduction to statistics targeting students with no mathematical background beyond high-school level. The module delivers a package of statistical techniques ranging from basic hypothesis testing to more sophisticated procedures. Upon completion of the module, students will be able to independently select and run appropriate statistical tests, create professional-level graphs and presentations, and critically evaluate statistical information in technical reports and the general press. Students will acquire enough statistical knowledge to qualify them for a research degree or a professional position requiring quantitative analytical skills.
7.5 ECTS / 4 US / 0.5 UCL
GBP 2100: GBP 1995: Students joining us for six weeks (two modules) will receive a tuition fee discount.
GBP 1100: Accommodation (optional) costs approx. £1100 per Session.