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, Free University of Bozen-Bolzano
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, Free University of Bozen-Bolzano
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 specific methods for data types commonly encountered in the social sciences, including network data, time series, spatial data and panel data.
Target audience and pre-requisites
- Post-graduate students (Master and PhD students) who want to extend their knowledge and learn more about the analysis of statistical data with data science methods
- Researchers and practitioners working with data in private and public institutions whose work would benefit from a course focused on the latest advances in fields
There are no formal pre-requisites but
- understanding of elementary statistical procedures could be of help for the 2nd School on Data Analysis and Programming with R
- familiarity with the R computing environment is important for the 1st Euregio Summer School in Data Science for the Social Sciences, hence attendance of the R School integrated in this program is strongly encouraged.
The 1st Euregio Summer School in Data Science for the Social Sciences is organized with the support of EUREGIO, hence for students from this area fees are waived and they are eligible for travel and accommodation support.