Mon 2 Mar 2020 09:00 - Fri 20 Mar 2020 17:00
Event type:



Data discovery & use

Target Group(s):

Data users

Skill level(s):







GESIS - Leibniz-Institute for the Social Sciences

Event website:

CANCELLED - 49th GESIS Spring Seminar: Digital Behavioural Data

ATTENTION: Due to the outbreak of Corona Virus, the event is cancelled. Here further information.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.

ECTS Credits:

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.