The Intergovernmental Panel on Climate Change (IPCC) is the leading international body for the assessment of climate change. It was established by the United Nations Environment Programme (UNEP) and the World Meteorological Organization (WMO) in 1988 to provide the world with a clear scientific view on the current state of knowledge on climate change and its potential environmental and socio-economic impacts. Students will learn new data analysis methods through readings of IPCC papers and related material. Online readings may be required. Topics such as multiple regression, logistic regression, multi-way ANOVA, and log-linear models for categorical data will be covered. Some simulation studies and Bayesian analysis may also be introduced. Work will include the use of some common computer packages (e.g., R, EXCEL) and homework assignments, as well as a data analysis project. We review some relevant theory, though the emphasis in this course is on knowing when and how to apply these statistical methods. Prerequisite: some statistics background, including some knowledge of hypothesis testing.