This 45-hour hybrid laboratory course introduces students to the practical application of data analysis techniques using the Python programming language. Designed for third-semester students of Economic Analytics II, the course develops competencies in data manipulation, visualization, statistical analysis, and introductory predictive modelling using widely adopted Python libraries. Through hands-on exercises and case studies, students will learn how to import, clean, transform, analyze, and communicate insights from economic and business data. The course emphasizes reproducible analytical workflows and practical problem-solving skills relevant to data-driven decision-making. Assessment is based on continuous evaluation, including practical assignments, and project work.
- Nauczyciel: Samuele Lo Piano