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SUMMARY:OT-ST-WS-02 Data extraction from external online resources using R
DTSTART:20261116T080000Z
DTEND:20261118T140000Z
DTSTAMP:20260624T033300Z
UID:indico-event-26@events.bremen-research.de
CONTACT:data-train@vw.uni-bremen.de\;+49 (421) 218 60043
DESCRIPTION:Speakers: Data Train UBRA (U Bremen Research Alliance)\n\nBack
 ground\nFor everyone\, who is interested in analyzing (and learning from) 
 data from external (online) sources such as review platforms\, Twitter\, e
 tc. \nLearning contents\nThe course will cover some basic insights of ext
 racting data from external online platforms. It will discuss the general a
 pproaches as well as the legal requirements. We will work with R to progra
 m simple scrapers that systematically extract data from websites and to ac
 cess application-programming interfaces (APIs) that facilitate the extract
 ion of data.\nLearning objectives\nIn this course\, students will learn ho
 w to acquire data from external sources (such as online platform) for foll
 ow-up statistical analysis for their own research.\nPrior knowledge\nSome 
 prior knowledge in R is beneficial.\nTechnical requirements\n\nOwn laptop\
 n\nConnection to Wifi via eduroam or equivalent access (see: https://www.u
 ni-bremen.de/en/zfn/wifi/overview-wifi)\n\nAccess to R or Rstudio\n\nPleas
 e make sure\, you have a functional current version of R or R-Studio befor
 e the workshop\nParticipants with access to the Uni Bremen ZfN Services ca
 n use R and RStudio via JupyterHub (https://jupyter.uni-bremen.de/).\nFor 
 installation to your own computer download R via https://cran.rstudio.com
 / or R-Studio via https://posit.co/download/rstudio-desktop/\n\n\n\n \nTh
 e Lecturer(s)\n\n\n\n\nProf. Dr. Kristina Klein\nKristina Klein is Profess
 or of Business Administration\, particularly Marketing and Consumer Behavi
 or at the Faculty of Business Studies & Economics at the University of Bre
 men.\n\nRichard Dobler\nRichard Dobler is a Doctoral Candidate at the mark
 stones Institute of Marketing\, Branding & Technology\, University of Brem
 en\n\n\n\n\n\n\n\n \nFind out more about the Data Train lectures on our 
 website.\n \nThis event is organized by\n\n\nhttps://events.bremen-resear
 ch.de/event/26/
LOCATION:Room 2.2070/2.2090 (2. floor) (Unicom 2 (Haus Oxford))
URL:https://events.bremen-research.de/event/26/
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