Designed for graduates of all disciplines, it provides the tools to work in the area of data analysis applied to all fields, from business to research.
Teaching Mode: Online (MS Teams)
Hours: Wed-Fri 16-20, Sat 9-13
Lectures*: 21/11/23 - 31/07/24
Stage: 01/08/25 - 31/12/25
End of applications: 18/10/24
Instructions: Application
Portal: Alice
* Christmas and holidays vacations as described in the UniPi Academic Calendar.
APPLICATION
Status: CLOSED
Starting 20/07/24 to 18/10/24
Procedure: Application
Portal: Alice
CALENDAR
Length: One Year
Lectures: 21/11/23 - 31/07/24
Stage: 01/08/25 - 31/12/25
DETAILS
Mode: on line
Language: English
Credits: 60 ECTS
Lectures: 472 hours
Stage: 475 hours
Cost: 4500€
Students: 40
Uditori: 20
PLATFORTMS
Material: Moodle
Lectures: Microsoft Teams
Big Data for
Social Good
Mobility Analysis using Mobile Phones Records, GPS Tracks, Smart-City Sensors, etc. Diffusion of Opinions, Reputation, Sentiment and Engagement in Social Media. Big Data and Official Statistics
Big Data
for Business
Big Data in Finance and Economics, Recommendation Systems, Novel CRM Applications, Data Journalism and the use of Big Data in Electronic Publishing