This is an interactive website that provides an introduction to data science using the R language. In particular, this website introduces the basic concepts of data structures, control structures, and functions in R. It also discusses data manipulation and data visualization. This website is originally conceived as a support to the course "Introduction to Data Science" at the University of Geneva, which was rewarded with pedagogical innovations, and was among the best 3 projects for the Credit Suisse Award for Best Teaching 2020.
This is an interactive website that provides a non-technical introduction to the data analysis tools with R for non-Statistics-major students. It is originally conceived as a support to the course "Data Analytics for Pharmaceutical Sciences" at the University of Geneva. In particular, this website introduces the basic concepts of statistical hypothesis testing, (generalized) linear models, machine learning and semi-parametric methods. Applications of these statistical methods are provided in the context of Pharmaceutical Sciences.
This ebook contains an overview of the basic procedures to adequately approach a time series analysis. In particular, it discusses how to use descriptive analysis to identify important characteristics of a time series, and then employ modelling and inference techniques (made available through R funtions) that allow to describe a time series and make predictions.