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 on 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 develop their data analysis skills through modern data science methods and learn how to use the use R software.
- Researchers and industry practitioners working with data in private and public institutions.
Although there is no formal prerequisite, we recommend the following.
- a basic understanding of elementary statistics/econometrics is for the 2nd School on Data Analysis and Programming with R (e.g., one or two intro-level statistics or econometrics courses at the undergraduate level)
- basic knowledge of the R computing environment and basic understanding of elementary statistics/econometrics (e.g., one or two intro statistics or econometrics courses at the undergraduate level) are recommended 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.