Methods and Languages for Data Processing

The course aims to introduce methods and techniques for describing, summarizing, and finding a structure in a dataset, with particular attention to data collected in the field of cultural heritage. Traditional statistical methods and artificial intelligence methods will be briefly mentioned.

Students will be able to perform exploratory analysis of a dataset, conduct basic inferences, and run the main hypothesis tests using a data analysis environment. They will also be familiar with the main techniques of machine learning, for both regression and classification purposes, and the main topics related to machine learning.