2018-2019

Statistical Methods for Data Science

Credits: 
2
Hours: 
20
Area: 
Big Data Mining
Description: 

This module introduces the main methods of analysis and mining of opinions and personal evaluations for users based on Big Data generated on the web or other sources. Emphasis will be put on text mining method applied to text originated on social media. Lessons will be supported by case studies developed in the SoBigData.eu lab.

Alberto Olivieri

Olivieri

I was born in Verona but I lived most of my life in Padua, Salerno, Crete and now in Pisa. I obtained my bachelor's degree in Archeology at the University of Padua and then, during my master's years, I specialized in Urban Planning of the Ancient Greek World at the University of Salerno. While working with the University, I begun to study and use databases, GIS, statistical techniques and programming languages ​​related to data science. For this reason I decided to begun this path with the Master in Biga Data.

2018-2019

Tina Martino

Martino

Tina Martino is currently covering the role of Head of Value Proposition in Octo Telematics, a leading company in insurance telematics and smart mobility services. After graduating in Information Sciences, he worked at Telecom Italia as Telco networks designer and vertical product marketing specialist. After she specialized in infomobility solutions, holding various technical and commercial roles mainly in Viasat, an Italian company, and then in Siemens where she managed “end to end” Internet of things projects in different application contexts (home, industrial automation, connected cars). Her special focus on continuous innovation and the search for new perspectives to look at everyday life have characterized her professional path.

2018-2019

Giuliano Gemma

Gemma

I am an IT engineer, I obtained a master degree at "Università degli studi di Firenze". My graduation thesis is on biomedical technologies. I began my career as a freelance but since 2005 I have been working in the public administration, first at ARPAT (Agenzia Regionale per la Protezione dell’Ambiente della Toscana), then at ESTAR (Ente di Supporto Tecnico-Amministrativo Regionale) in the ICT sector. I was a council member of the "Ordine degli Ingegneri della Provincia di Firenze", where I have been the editorial director of the magazine "Progettando Ing". I love music and culture in general. I am bass and double bass jazz player. At present I am attending the Big Data Analytics and Social Mining Master to consolidate and enrich my skills.

2018-2019

Filippo Cassano

Cassano

I was born in Perugia in 1993. For my university studies I moved to Rimini, where I graduated from a Master’s degree in Service Management provided by the University of Bologna. Between 2017 and 2018, I worked for a digital marketing agency. The need to build effective reports and strategies gave me the opportunity to put in practice the analytical skills acquired during my studies, to gain new ones and, above all, to grasp the potential of the enormous quantity of data we can find nowadays. I enrolled for the Master’s degree in Big Data Analytics & Social Mining to start learning those tools and methods that allow data scientists to successfully face Big Data challenges.

2018-2019

Eduardo Bondielli

Bondielli

I graduated in Banking, corporate finance and financial markets at the Faculty of Economics and Management of Pisa. During my studies I get passionate about the use of computer science in the economic-financial field. I therefore begin to study and use the programming languages Python and R, as well as to approach the topic Data Science. I decided to enroll in the master to deepen my knowledge and acquire new skills, fascinated by the great opportunities that derive from the analysis of Big Data and their use in my field of study.

2018-2019

Raffaele Mazziotti

Mazziotti

I graduated in Experimental Psychology at the University of Florence and obtained my PhD in Basic Neuroscience at the University of Pisa. During my PhD I studied cortical plasticity and visual system development, using electrophysiology and functional imaging. Currently I hold a Postdoctoral Fellowship at the Institute of Neuroscience, CNR (Pisa) and I am working on rare diseases of the nervous system using animal models. Throughout my stydies I became passionate in developing new hardware and software tools for functional microscopy, data analysis and machine learning. For this reason I decided to enroll this master and acquire the specific skills to extend and improve my knowledge in the fields of computer and data science.

2018-2019

Maria Luisa Costa

Costa

Born in Trapani in 1987, when I attendend High Schools The passion to data was born and so I attended a the degree course in Statistics for Data Analysis at the University of Palermo. I continued my training with a master's degree in Statistical Sciences in 2015. After a short break in which I started a restaurant business, I decided to resume my studies by attending a Master in Big Data Analytics which allowed me to look back at data analysis and to improve my computer skills.

2018-2019

Maurizio Gazzarri

Gazzarri

 

He was born in Volterra in 1971. In 1990 he moved to Pisa where he graduated in Computer Science. From 2008 to 2018 he was Head of the Mayor of Pisa’s office, and took care of the digitalization of public services, communication, participation, and coordination of innovative projects. He believes that the strategic choices for improving the quality of life of citizens should be based on reliable predictive analysis of the consequences, and be assessable in real time. His participation in the Master's Degree goes in this direction: trying to connect the Public Administration, and the companies that have relations with it, with the world of tools and solutions connected to Big Data. In 2018 he released his first novel "I ragazzi che scalarono il futuro" ["The boys who climbed the future"] (http://www.edizioniets.com/scheda.asp?n=9788846753700), which, mixing reality and fantasy, tells the origin of Italian computer science and the realization of CEP and ELEA, the first Italian computers.

2018-2019

Daniele Pau

Pau

Born in Cagliari, I obtained a Bachelor's Degree in Information Engineering at the University of Cagliari then in 2018 I earned the Master's Degree in Biomedical Engineering at the University of Pisa with a grade of 110/110 cum laude, developing my thesis at Fondazione Toscana Gabriele Monasterio, specialized institution of the Regional Health Service of Tuscany, aimed at the design and development of a web application for tracking and monitoring sensitive data in electronic medical records. For a short time, I held the position of Consultant Engineer in Turin at Magneti Marelli, an Italian multinational company operating in the Automotive sector, working on the HMI section within a project for Alfa Romeo as a GUI developer in a WebKit-based environment. With a university career in the field of information technologies and with the competences acquired successively, driven by the interest in Data Science, I decided to enroll in this Master to consolidate old topics and face new ones.

2018-2019

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