Background

For everyone, who is interested in analyzing (and learning from) data from external (online) sources such as review platforms, Twitter, etc. 

Learning contents

The course will cover some basic insights of extracting data from external online platforms. It will discuss the general approaches as well as the legal requirements. We will work with R to program simple scrapers that systematically extract data from websites and to access application-programming interfaces (APIs) that facilitate the extraction of data.

Learning objectives

In this course, students will learn how to acquire data from external sources (such as online platform) for follow-up statistical analysis for their own research.

Prior knowledge

Some prior knowledge in R is beneficial.

Technical requirements

• Own laptop

• Connection to Wifi via eduroam or equivalent access (see: https://www.uni-bremen.de/en/zfn/wifi/overview-wifi)

• Access to R or Rstudio
  • Please make sure, you have a functional current version of R or R-Studio before the workshop
  • Participants with access to the Uni Bremen ZfN Services can use R and RStudio via JupyterHub (https://jupyter.uni-bremen.de/).
  • For installation to your own computer download R via https://cran.rstudio.com/ or R-Studio via https://posit.co/download/rstudio-desktop/

The Lecturer(s)

Prof. Dr. Kristina Klein Kristina Klein is Professor of Business Administration, particularly Marketing and Consumer Behavior at the Faculty of Business Studies & Economics at the University of Bremen.	Richard Dobler Richard Dobler is a Doctoral Candidate at the markstones Institute of Marketing, Branding & Technology, University of Bremen

Find out more about the Data Train lectures on our website.

This event is organized by