Program Overview

Introduction to Data Analytics

Course Overview

The course introduces the basic techniques for the representation and exploratory analysis of data from a Business Intelligence perspective, with reference to descriptive analytics and exploratory data analysis methodologies aimed at supporting decisions in industrial and management fields.

Aims and Content

Learning Outcomes

The course introduces the basic techniques for the representation and exploratory analysis of data from a Business Intelligence perspective, with reference to descriptive analytics and exploratory data analysis methodologies aimed at supporting decisions in industrial and management fields.

Aims and Learning Outcomes

The student will be able to design and build a simple dashboard using data from different sources.

Prerequisites

• Python programming language
  • Main concepts of databases

Teaching Methods

• Theoretical classes and PC labs

Syllabus/Content

• Introduction to EDA (Exploratory Data Analysis)
• Structured and unstructured data
• Data preprocessing and Data wrangling
• Key Performance Indicators
• Date visualization
• Dashboard design
• Data warehousing and OLAP
• Data Quality
• Data Privacy

Recommended Reading/Bibliography

• Material provided by the teacher
• Python libraries: SciPy and in particular the Pandas library
• Optional material:
  • C.C Aggarwal, Data mining: the textbook. Springer, 2015. [Chap.2,3]
  • J.V. Guttag, Introduction to computation and programming using Python. MIT Press, 2013. [Chap. 16]
  • M.J.Zaki, M.Wagner Jr., Data Mining and Machine Learning: Fundamental Concepts and Algorithms. Cambridge University Press, 2019. [Chap. 1-7]
  • S.Few, Information Dashboard Design, 2nd Ed., Analytics Press, 2013.
  • D. Parmenter, Key Performance Indicators, 2nd Ed., 2010.
  • W. McKinney et al., Pandas: powerful Python data analysis toolkit, 2021

Teachers and Exam Board

Teachers

• Davide Anguita
  • Office Hours: By appointment.
• Luca Oneto
  • Office Hours: By appointment, scheduled by email.

Exam Board

• Davide Anguita (President)
• Antonio Emanuele Cina'
• Luca Oneto (President Substitute)
• Luca Demetrio (Substitute)

Lessons

Lessons Start

Class Schedule

The timetable for this course is available here.

Exams

Exam Description

The student will develop independently (individually or in cooperation with other students) a case study of their choice, among those proposed by the teacher, using one of the methodologies illustrated during the course. The oral exam will focus on the discussion of the case study.

Assessment Methods

The oral exam will allow to verify the ability to analyze and represent a set of data from different sources in order to make them usable by a hypothetical end user identified with the case study.

Exam Schedule

• Date: 03/06/2026
  • Time: 08:00
  • Location: GENOVA
  • Degree Type: Scritto + Orale
• Date: 18/06/2026
  • Time: 08:00
  • Location: GENOVA
  • Degree Type: Scritto + Orale
• Date: 21/07/2026
  • Time: 08:00
  • Location: GENOVA
  • Degree Type: Scritto + Orale
• Date: 10/09/2026
  • Time: 08:00
  • Location: GENOVA
  • Degree Type: Scritto + Orale

Course Details

Code

98238

Academic Year

2025/2026

Credits

6 cfu anno 3 INGEGNERIA GESTIONALE 10716 (L-9) - GENOVA

Scientific Disciplinary Sector

ING-INF/05

Language

Italian

Teaching Location

GENOVA

Semester

2° Semester

Teaching Materials

AULAWEB