CODE 98238 ACADEMIC YEAR 2024/2025 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 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 https://scipy.org and in particular the Pandas library https://pandas.pydata.org 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 DAVIDE ANGUITA Ricevimento: By appointment. LUCA ONETO Ricevimento: By appointment, scheduled by email. Exam Board DAVIDE ANGUITA (President) ANTONIO EMANUELE CINA' LUCA ONETO (President Substitute) LUCA DEMETRIO (Substitute) LESSONS LESSONS START https://corsi.unige.it/en/corsi/10716/studenti-orario Class schedule The timetable for this course is available here: Portale EasyAcademy 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 Data appello Orario Luogo Degree type Note 03/06/2025 08:00 GENOVA Scritto + Orale 19/06/2025 08:00 GENOVA Scritto + Orale 22/07/2025 08:00 GENOVA Scritto + Orale 11/09/2025 08:00 GENOVA Scritto + Orale Agenda 2030 - Sustainable Development Goals Quality education Gender equality Decent work and economic growth Industry, innovation and infrastructure