The aim of this course is to provide graduate students conducting research in social sciences with basic knowledge and skills about data science tools and approaches. Students are expected to effectively manage the processes of data collection, analysis and visualization.

This course aims to introduce the basic concepts and applications of data science to graduate students working in the field of social sciences. The course covers the processes of data collection, cleaning, analysis and visualization. Applied data analysis is performed using open source software such as Python and/or R. We will work with data types commonly encountered in the social sciences, such as survey data, text data, and social network data. In addition, the contribution of computational methods to social scientific research is discussed along with ethical and open data debates.