Argomenti dell'insegnamento
1. Data Management Fundamentals, 2. Data Visualization, 3. Introduction to R, 4. Descriptive Analysis, 5. Time Series Data, 6. Survey Data.

Modalità di insegnamento
The course will combine in-class explanations of data analysis procedures with problem-solving activities and the discussion of case studies. Students will be encouraged to participate actively, providing them with the opportunity to develop their problem-solving skills in realistic and applied contexts.

Modalità d'esame
1. Voluntary midterm exam covering the first half of the course materials (data management fundamentals and data visualization) and 2. Mandatory final exam covering either the second half of the course or the entire course. The final grade will be a weighted average of the midterm exam (50%) and final exam (50%). Students that do not take the midterm or reject their midterm grade will be given a longer final exam that will count for 100% of the final grade.

Criteri di valutazione
Students will be evaluated on their ability to: Understand and apply data management, visualization, and analysis techniques (both correct procedures and accurate solutions are essential); summarize and interpret descriptive statistics, as well as R code, and common outputs; demonstrate analytical thinking and clarity in communication; interpret exam questions accurately, providing correct, well-reasoned answers; establish connections between topics, demonstrating critical thinking skills.