Economics and Finance

The course provides the fundamental practical and methodological skills for data analysis in an economic and business context, using the R programming language. Starting from acquiring the operational skills to use the RStudio environment, students learn to manage the entire data workflow: from importing and cleaning datasets to exploring data through descriptive statistics, and finally to creating effective visualizations. The strongly applied training path guides students in organizing data into appropriate structures (vectors, matrices, data frames), calculating summary measures (central tendency, variability, percentiles), selecting and transforming variables, and graphically representing information through histograms, boxplots, bar charts, and scatterplots. The goal is to develop an analytical mindset and the autonomy needed to tackle simple yet concrete descriptive analysis projects, laying the groundwork for learning more advanced statistical techniques.