90905 - Workshop 1 (WS6)

Learning outcomes

The course aims at introducing students to the utilization of one of the main statistical packages for data analysis and presenting to them the basic elements of micro-data management and analysis. By the end of the course students will be familiar with the statistical package interface and be able to: load different types of data and different file formats into the statistical package, perform basic data management operations and conduct monovariate and multivariate statistical analyses using the software introduced during the course.

Course contents

the course will be held online, on Teams platform.

Data Science: Introduction, examples, process analysis.

- Machine Learning: classification, regression, examples, tools and techniques of ML 

-Introduction to programming in Python

Readings/Bibliography

slides of the teacher

Teaching methods

Lectures and Laboratory lessons

Assessment methods

Evaluation of the Laboratory exercises and of a final written report.

Teaching tools

slides of the teacher

Office hours

See the website of Elena Loli Piccolomini