000135R6 - IN-DEPTH ANALYSIS OF DATA SCIENCE FOR ECONOMICS

courses
ID:
000135R6
Duration (hours):
1
CFU:
6
SSD:
STATISTICA ECONOMICA
Located in:
PESCARA
Url:
ECONOMICS AND BUSINESS ANALYTICS/CORSO GENERICO Year: 1
Year:
2025
Course Catalogue:
https://unich.coursecatalogue.cineca.it/af/2025?co...

Overview

Date/time interval

Secondo Semestre (11/02/2026 - 18/05/2026)

Syllabus

Course Objectives

The course of Advanced Topics in Data Science in Economics aims at contributing to the student's educational development by advanced methods for quantitative analysis that are useful for economic and business decision-making. Through projects, the course provides advanced methodological and practical knowledge in data science for economic data using the open-source statistical software R. By the end of the course, the student, through the development of a research project using R, will be able to analyze databases, including large-ones, with modern statistical techniques. The knowledge acquired will enable them to critically interpret economic and/or business dynamics.

Course Prerequisites

Base knowledge of R and data science topics.

Teaching Methods

Project/Statistical analysis on economic data.

Assessment Methods

Knowledge and understanding will be assessed through the discussion of the research project carried out using R. The project must be submitted to the instructor at least one week before the exam date. The exam will be graded with a mark expressed on a scale of thirty. During the development of the research project, students' ability to apply data science modeling knowledge to real-world analytical situations will also be assessed.

Texts

James G, Witten D, Hastie T, Tibshirani R (2021). An Introduction to Statistical Learning with Applications in R. Springer.

Contents

Development of a data science project or an in-depth study of an advanced topic in economic statistics.

Course Language

Italian

Degrees

Degrees

ECONOMICS AND BUSINESS ANALYTICS 
Master’s Degree
2 years
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