Second Cycle (Laurea magistrale) Degree Programme in Business Informatics
Prof.: Dino Pedreschi
Prof.: Mirco Nanni
… a new kind of professional has emerged, the data scientist, who combines the skills of software programmer, statistician and storyteller/artist to extract the nuggets of gold hidden under mountains of data. Hal Varian, Google’s chief economist, predicts that the job of statistician will become the “sexiest” around. Data, he explains, are widely available; what is scarce is the ability to extract wisdom from them.
Data, data everywhere. The Economist, Special Report on Big Data, Feb. 2010.
The student develops basic capacities of data analytics and mining, and mastering the knowledge discovery process from various kinds of data. Key applications in socio-economic domains are extensively studied by hands-on projects.
Fundamentals of the knowledge discovery process
Explorative Data Analysis
Fundamental data mining techniques: patterns and rules, clustering, classification
Case studies in socio-economic domains (marketing and CRM, mobility and transport, public health, etc.)
Ethical issues of data mining, responsibility of the data scientist, and privacy
For this course the prerequisite/s is/are
face to face
Pang-Ning Tan, Michael Steinbach, Vipin Kumar. Introduction to Data Mining. Addison Wesley, ISBN 0-321-32136-7, 2006
See course wiki at http://didawiki.cli.di.unipi.it/doku.php/dm/start
Per informazioni scrivete a email@example.com.