Data discovery & use
GESIS - Leibniz-Institute for the Social Sciences
49th GESIS Spring Seminar: Digital Behavioural Data
The GESIS Spring Seminar offers three consecutive one-week courses in advanced methods of quantitative data analysis for Social Scientists. It has been taking place in Cologne annually every spring for more than 45 years.This year, three courses on Digital Behavioral Data are offered: Fundamentals of Data Analysis with Python (02 - 06.03.2020); A Practical Introduction to Machine Learning in Python (09 - 13.03.2020); Social Network Analysis with Digital Behavioral Data (16 - 20.03.2020).
Outline of the GESIS Spring Seminar 2020:
Week 1 02 - 06.03.2020: Fundamentals of Data Analysis with Python - Dr. John McLevey, Jillian Anderson
Week 2 09 - 13.03.2020: A Practical Introduction to Machine Learning in Python - Dr. Damian Trilling, Dr. Anne Kroon
Week 3 16 - 20.03.2020: Social Network Analysis with Digital Behavioural Data - Dr. David Garcia, Max Pellert
Who should attend the GESIS Spring Seminar?
The GESIS Spring Seminar is targeted at advanced graduate or PhD students, post-docs, junior and senior researchers, who are interested in developing and improving their knowledge and skills in state of the art techniques in quantitative data analysis.
Spring Seminar Prerequisites
In addition to the prerequisites mentioned in the syllabi of the courses, all Spring Seminar participants are expected to meet the following general criteria:
- have a sound knowledge of quantitative research methods
- have a good command of English as the Spring Seminar will entirely be held in English.
PhD students have the opportunity to receive 3 ECTS (European Credit Transfer and Accumulation System) credit points via the Cologne Graduate School in Management, Economics and Social Sciences of the University of Cologne.
Read here for information about participation fees and other details.