Laboratorio: analisi quantitativa dei dati
A.Y. 2025/2026
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.
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.
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.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course can be attended as a single course.
Course syllabus and organization
Single session
Responsible
Professor(s)