The first part of the course will cover: R basics (vectors, lists data.frame and functions), data import, data preprocessing, data visualization (ggplot2) and presentation (R Markdown). The second part of the course will deal with: logistic, multinomial and Poisson regression. The third part will address: time series decomposition, exponential smoothing, ARIMA (SARIMA) and dynamic regression models.