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.
Successful completion of this module meets the pre-requisite for the Session Two module Data Science and Big Data Analytics.
Upon successful completion of this module, students will:
|Period||20 Jul 2019 - 9 Aug 2019|
|Level||Bachelor / Undergraduate|
|Program fee||1,995 GBP|
|Accommodation fee||1,000 GBP|
|Fee extra info:
The housing costs are to be confirmed.
|Application deadline||19 July 2018|