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96799 - Forecasting and Predictive Analytics

Docente: Luca Trapin
Credits: 10
SSD: STAT-02/A
Language: English

Academic Year 2026/2027

                
                        Docente:
                        Luca Trapin
                    
                        Credits:
                        10
                    
                        SSD:
                        STAT-02/A
                    
                        Language:
                        English
                    
                        Teaching Mode:
                        In-person learning (entirely or partially)
                        
                            Campus:
                            Bologna
                        
                            Corso:
                            Second cycle degree programme (LM) in
                            Statistics, Economics and Business (cod. 6811)

                                    Course Timetable
                                
from Sep 14, 2026 to Dec 15, 2026

Learning outcomes

At the end of the course the student has a wide knowledge of the most important statistical techniques employed for forecasting and prediction purposes in modern business activities. In particular the student is able to: - Select the most appropriate predictive model to solve the business problem at hand; - Analyze the data and perform predictions using the statistical software R; - Report the results in a proper format for the business management.

Syllabus

The syllabus has not been published yet.

Office hours

See the website of Luca Trapin