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SUMMARY:OT-ST-WS-01 Getting started with R
DTSTART:20260701T070000Z
DTEND:20260703T130000Z
DTSTAMP:20260624T034100Z
UID:indico-event-28@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\nProgramming language (like Python\, R oder MATLAB) skills are a ne
 cessary prerequisite for working with data and applying advanced data scie
 nce methods.\nLearning contents\n\nR Basics\nImporting and Exporting Data\
 nProgramming Basics\nDatatypes\nScripts\nFunctions\nBasic Plotting Tools\n
 \nLearning objectives\nLearn how to use R to apply data science methods an
 d turn data into insight.\nPrior knowledge\nnone\nTechnical requirements\n
 \nOwn laptop\n\nConnection to Wifi via eduroam or equivalent access (see: 
 https://www.uni-bremen.de/en/zfn/wifi/overview-wifi)\n\nAccess to R or Rst
 udio\n\nPlease make sure\, you have a functional current version of R or R
 -Studio before the workshop\nParticipants with access to the Uni Bremen Zf
 N Services can use R and RStudio via JupyterHub (https://jupyter.uni-breme
 n.de/).\nFor installation to your own computer download R via https://cra
 n.rstudio.com/ or R-Studio via https://posit.co/download/rstudio-desktop/.
  Installations will be guided in the workshop.\n\n\nIf you do not have an
 y programming environment (e.g. Python\, R\, Rstudio\, etc.) installed on 
 your computer\, you can use web-based options: For example\, participants 
 with access to the Uni Bremen ZfN Services can use the Uni Bremen JupyterH
 ub. Alternatively\, participants can use the NFDI JupyterHub.\n\nThe Lectu
 rers\n\n\n\n\nDr. Gerrit Liedtke\nDr. Gerrit Liedtke is a Postdoc at the U
 niversity of Bremen\, Faculty of Business Studies and Economics.\n\nTobias
  Neumaier\nTobias Neumaier is PhD Candidate and Research Assistant at the 
 University of Bremen\, Faculty of Business Studies and Economics.\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-research.de/even
 t/28/
LOCATION:Room 2.2070/2.2090 (2. floor) (Unicom 2 (Haus Oxford))
URL:https://events.bremen-research.de/event/28/
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