12 August 2022
on course website
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
This is a level one module (equivalent to first year undergraduate). No prior subject knowledge is required to study this module but students are expected to have a keen interest in the subject area.
Upon successful completion of this module, students will:
Be able to run statistical analyses ranging from simple descriptive statistics to logistic regression models
Have acquired in-depth knowledge of R software and its RStudio interface
Be able to evaluate the meaning, uses and limitations of statistical techniques
Have produced publication-standard statistical plots
Exhibit basic knowledge of R programming functions
7.5 ECTS / 4 US / 15 UCL
GBP 2230: Students studying for 6 weeks (2 modules) will benefit from a built-in tuition fee discount.
GBP : Students are welcome to apply for accommodation at a UCL summer residence.
on course website