- Docente: Furio Camillo
- Credits: 9
- SSD: SECS-S/03
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: First cycle degree programme (L) in Business and Economics (cod. 8965)
Course contents
Overview of Data Mining, Commercial data, Administrative data, survey data, Factor Analysis, Cluster Analysis, Predictive Models (decision trees, discriminant analysis, regression)
Readings/Bibliography
Stephane Tuffery - Data Mining and Statistics for decision making - ed. Wiley 2011 - Capitoli: 1, 3, 7, 9, 11.6, 11.7
Teaching methods
Lessons and laboratory works using SAS
Assessment methods
An applied workgroup carried out and written according to the standards communicated and taught during the lessons. The discussion of group work will take place individually and online via teams during the official dates of the Almaesami website, but also online on extra dates by individual agreement with the teacher.
Teaching tools
Theoretical lessons and informatic lab. Students with disability or specific learning disabilities (DSA) are required to make their condition known to find the best possibile accomodation to their needs
Office hours
See the website of Furio Camillo
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.