Transferable Skills Course: Data Visualization with R

  • Start: May 5, 2025 09:30 AM (Local Time Germany)
  • End: May 19, 2025 01:00 PM
  • Speaker: Rick Scavetta
  • Location: online
  • Contact: imprs-bac@molgen.mpg.de
Transferable Skills Course: Data Visualization with R
The Data Visualization workshop is divided into two distinct parts – principles and applications. This is the third workshop of a three-workshop-cycle on statistics (Statistical Literacy - Data Analysis with R - Data Visualization with R).

Please email imprs-bac@molgen.mpg.de to register.


Schedule

This course will take place online. There are two group sessions and one 1:1 session with the trainer:

  • Start eLearning: 21st April 2025
  • 1st Group Session: 5th May 2025, 09.30 – 11.30
  • 2nd Group Session: 12th May 2025, 09.30 – 11.30
  • Study Session: 14th May 2025, 14.30 – 16.30
  • 1:1 Mentoring Session: 19th May 2025, 09.00 – 13.00 (plus 13:00-17:30 if necessary)


Two weeks before the first group session you will receive access to the course material, which you will need to work through before the group sessions. This should take about 1-2 hours of your time per day.


Content

  • Use Figures and Tables to effectively tell the story of their research.
  • Decide whether text, tables, or plots are most appropriate to convey the message of each result.
  • Choose the most appropriate plot type for their data.
  • Understand the science of perception and apply design principles to communicate their message clearly.
  • Use aesthetics to relate sensory attributes (color, shape, etc.) to abstractions (enrichment, change-over-time).
  • Distinguish between graphics for publication and for data exploration.
  • Interactive visualizations if time permits


Courses are now structured by modules and run for three to four weeks, giving participants a clearer structure and more time to engage with the material and the instructor. Additionally, courses include a new Study Session module where students can explore real-world case studies.


You can find an extensive description of the course and its prerequisites here.


Before signing up for this workshop, please make sure that you can attend all the dates and write them in your calendar. If you do not show up or cancel at very short notice, other interested students will not be able to participate.

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