Probabilistic and Statistic Methods
A.Y. 2024/2025
Learning objectives
Knowledge of descriptive statistics. Position and variability indices. Acquisition of the principles and the techniques of regression and correlation between variables. Knowledge of inferential statistics. Analysis of Variance.
Expected learning outcomes
Students will be able to independently perform simple exploratory and inferential analyses using a software for data analysis. They will also have learned the concepts behind the main artificial intelligence techniques for the development of classification and regression models; therefore they will be able to interact constructively with the professional figure of data scientist in order to conduct more sophisticated analyses.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Course currently not available
SECS-S/01 - STATISTICS - University credits: 6
Lessons: 48 hours