[s21] Big Data for Social Science

Key: BigDataSocialScience

Instructors

Frauke Kreuter frauke.kreuter@stat.uni-muenchen.de

Please contact Carolina Haensch (anna-carolina.haensch@stat.uni-muenchen.de) if you have any questions.

Learning outcome

Learn how to think about data analysis to solve social problems using and combining large quantities of heterogeneous data from a variety of different sources. Learn how to evaluate which data are appropriate to a given research question and statistical need. Learn the different data quality frameworks and learn how to apply them. Learn the basic computational skills required for data analytics (for text-mining, large-scale data integration and visualization), typically not taught in social science, economics, statistics or survey courses. Learn how to apply statistical and data quality frameworks to big data problems.

Organization

This is a block course (meetings on 6 days over Zoom), the course language is English.

The course will consist of recorded lectures, prepared materials like course notebooks with exercises and a course project as well as meetings on six days in September 2021 (probably 13.-17.9 and 20.9.).  

Can count towards:

WP 16 Advanced Methods in Social Statistics and Social Data Science 

WP 39 Computational Social Science