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Free University of Bozen-Bolzano

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Events

Location Room BZ C3.06, Universitätsplatz 1 - Piazza Università, 1, 39100 Bozen-Bolzano

Departments Press and Events

Contact Francesca Marta Lilja Di Lascio, Davide Ferrari

26 Aug - 31 Aug 2019

Summer Schools in Data Science and Computational Statistics with R

2nd School on Data Analysis and Programming with R, 26-28 August 2019 1st Euregio Summer School in Data Science for the Social Sciences, 28-31 August 2019

Location Room BZ C3.06, Universitätsplatz 1 - Piazza Università, 1, 39100 Bozen-Bolzano

Departments Press and Events

Contact Francesca Marta Lilja Di Lascio, Davide Ferrari

Due to the availability of increasingly large and complex data sets in many fields, including social sciences, researchers and practitioners are urgently required to master new computing and data-analytic skills in their daily academic and industry jobs. Motivated by these needs, the Faculty of Economics and Management will host two combined Schools on Data Science and Statistics:

2nd School on Data Analysis and Programming with R, 26-28 August 2019

R is becoming the standard computing platform for data manipulation and analysis due to many advantages over other programs. In this course students will learn how to carry out statistical programming, visualize and manipulate complex data sets, fit and interpret a variety of statistical models. This course will introduce students to advanced computing skills including graphics for the visualization of complex data, parallel programming and package building procedure, as well as statistical skills including methods for regression and classification.

1st Euregio Summer School in Data Science for the Social Sciences, 28-31 August 2019,

Our school brings state-of-the-art data science methods to post-graduate students and industry practitioners, thus enabling them to solve modern data analysis problems. After a gentle introduction on statistical inference and statistical learning theory, the lectures will focus on specific methods for data types commonly encountered in the social sciences, including network data, time series, spatial data and panel data.


More info: