Collecting Web Data with R

The increasing availability of large amounts of online data has transformed the social sciences. This course equips participants with the skills to gather and process online data for their research.

Course leader

Theresa Gessler
Postdoctoral researcher
Digital Democracy Lab and the Department of Political Science
University of Zurich

Target group

- Master
- PhD
- Post-doc
- Professional

This PhD level course is open to all researchers aiming at bringing their research to the next level. It is particularly designed for those who want to work with several types of online data, for example data from static or dynamic webpages or APIs.

Course aim

After this course you are able to:

- Understand the structure of different types of web data sources (APIs, static webpages, dynamic webpages).
- Collect data from different types of web data sources.
- Parse unstructured web data

Credits info

2 EC
2 ECTS credits, with the possibility of an extra 1-3 ECTS credits depending on additional course work and assignments handed in during or after the summer school (for a possible total of up to 5 ECTS).

Fee info

EUR 575: The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.

Scholarships

We offer several reduced fees:
€ 518 early bird discount- deadline 1 April 2022 (10%)
€ 489 partner + RU discount (15%)
€ 431 early bird + partner + RU discount (25%)