Use of R programming for the statistical analysis of ecological, environmental and behavioural data; data management, descriptive statistics, graphical representation, distributions, hypothesis testing - comparing means, relationships between two variables (correlation, regression, contingency table, Chi-square), non-parametric statistics, generalized linear models, survival analysis, logistic and log-linear regressions, more.

Course plan: