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  1. Courses

DAES03A - ANALISI ESPLORATIVA DEI DATI

courses
ID:
DAES03A
Duration (hours):
48
CFU:
6
SSD:
STATISTICA
Located in:
PESCARA
Url:
Course Details:
DATA ANALYTICS FOR ECONOMICS AND SOCIETY/CORSO GENERICO Year: 1
Year:
2025
Course Catalogue:
https://unich.coursecatalogue.cineca.it/af/2025?co...
  • Overview
  • Syllabus
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Overview

Date/time interval

Primo Semestre (01/10/2025 - 31/01/2026)

Syllabus

Course Objectives

The course, in line with the objectives of the CdS, aims to provide the methodological foundations necessary to use statistical tools that allow the exploration of economic, social, or other phenomena. The course intends to provide the Data Analyst with the knowledge and skills to conduct exploratory and descriptive data analyses in order to support the decision-making process.

EXPECTED LEARNING OUTCOMES

KNOWLEDGE AND UNDERSTANDING
The course aims to provide a solid understanding of basic statistical concepts, such as frequency distribution, the shape of a distribution, graphical representations, measures of central tendency, measures of dispersion, and measures of association.

ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING
At the end of the course, students will be able to:
calculate measures of central tendency, dispersion, and association;
interpret measures of central tendency, dispersion, and association;
describe the characteristics of a data distribution;
use different types of charts for data representation;
apply the concepts and techniques of descriptive statistics to conduct exploratory analyses on real phenomena.

COMMUNICATION SKILLS
At the end of the course, students will have acquired appropriate statistical language that will allow them to transfer information and assessments related to the analyzed data to others.

INDEPENDENT JUDGEMENT
The course aims to develop independent judgment that allows students to:
select the most appropriate summary tool based on the type of data available and the research objectives;
interpret the results obtained, recognizing any limits and strengths.

LEARNING SKILLS
Through practical exercises, the course aims to verify the understanding of the topics covered and to stimulate the learning capacity in relation to more advanced statistical teachings.

Course Prerequisites

None

Teaching Methods

Lectures, practical exercises.

Assessment Methods

The assessment of learning is conducted through a written exam lasting 2 hours, consisting of exercises and theoretical questions (open-ended questions) on topics covering the entire course program. These questions are designed to verify the knowledge of the reference material, as well as the comprehension and communication skills.
Students must demonstrate their ability to formalize a problem in quantitative terms, to derive the appropriate indices and statistics for its solution, and to provide an interpretation of the obtained results.
The evaluation will also consider the appropriateness of the language used and the ability to utilize the various proposed tools.
Assessment: Grade out of thirty. A score below 17 is insufficient, between 18 and 23 is sufficient, between 24 and 27 is fair, and above 28 is excellent. There is no oral examination.

Texts

Metodi statistici di base e avanzati per le scienze sociali. Alan Agresti, Brbara Finlay. Pearson, 2020.

Contents

Introduction to Statistical Methodology
Sampling and Measurement
Data Preparation
Data Exploration through Graphs and Numerical Summaries
Association: Contingency Tables, Correlation, and Regression
Introduction to Multivariate Relationships

Course Language

Italian

More information

E-mail: antonio.gattone@unich.it
Office Hours for Students: After classes and/or by appointment to be arranged via e-mail or TEAMS

Degrees

Degrees

DATA ANALYTICS FOR ECONOMICS AND SOCIETY 
Bachelor’s Degree
3 years
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People

People

GATTONE Stefano Antonio
Gruppo 13/STAT-01 - STATISTICA
AREA MIN. 13 - Scienze economiche e statistiche
Settore STAT-01/A - Statistica
Docenti di ruolo di Ia fascia
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