Introduction to Social Data Science

Introduction to Social Data Science

Course dates:
10 August, 2020 to 29 August, 2020
EU/EEA citizens 2625 DKK/Non-EU/EEA citizens 1275 EUR
Fee advantages:
Full fee
Application deadline:
Wednesday, 1 April, 2020
University of Copenhagen
Copenhagen, Denmark

General information

The objective of this course is to learn how to analyze, gather and work with modern quantitative social science data. Increasingly, social data that capture how people behave and interact with each other is available online in new, challenging forms and formats. This opens up the possibility of gathering large amounts of interesting data, to investigate existing theories and new phenomena, provided that the analyst has sufficient computer literacy while at the same time being aware of the promises and pitfalls of working with various types of data.

In addition to core computational concepts, the class exercises will focus on the following topics:

1. Gathering data: Learning how to collect and scrape data from websites as well as working with  APIs.

2. Data manipulation tools: Learning how to go from unstructured data to a dataset ready for analysis. This includes to import, preprocess, transform and merge data from various sources.

3. Visualization tools: Learning best practices for visualizing data in different steps of a data analysis. Participants will learn how to visualize raw data as well as effective tools for communicating results from statistical models for broader audiences.

4. Prediction tools: Covering key implementations of statistical learning algorithms and participants will learn how to apply and interpret these models in practice.


Please note that the summer courses are non-residential. Participants are responsible for finding and funding accommodation during their stay in Copenhagen.

You can use different online portals to search for accommodation, such as:

Hostel World

UCPH Housing Foundation (acceptance letter from UCPH required).


Application form

ECTS accreditation

Bachelor and master level

7,5 ECTS