Laboratorio: analisi quantitativa dei dati

A.Y. 2025/2026
1
Max ECTS
18
Overall hours
SSD
NN
Language
Italian
Learning objectives
Provide theoretical and practical foundations for quantitative data analysis. Introduce fundamental concepts of probability and statistical distributions. Develop skills in using Excel for statistical calculations, linear models, and data analysis.
Correctly interpret the p-value and confidence intervals. Apply statistical concepts to a practical project based on real-world data. Foster the ability to make data-driven decisions.
Expected learning outcomes
At the end of the course, students will be able to:
Understand the basic concepts of probability and statistical distributions.
Calculate and interpret mean, variance, and other measures of dispersion.
Use Excel to build and analyze linear models.
Interpret the p-value and confidence intervals to evaluate statistical significance.
Complete a data analysis project on a real dataset, with results presentation.
Communicate the results of the analysis in a clear and understandable manner.
Single course

This course can be attended as a single course.

Course syllabus and organization

Single session

Responsible
- University credits: 1
Laboratories: 18 hours
Professor: Frasca Maria
Professor(s)