Transferable Skills Course: Data Analysis with R

  • Start: Mar 24, 2025 09:30 AM (Local Time Germany)
  • End: Apr 7, 2025 01:00 PM
  • Speaker: Rick Scavetta
  • Location: online
  • Contact: imprs-bac@molgen.mpg.de
Transferable Skills Course: Data Analysis with R
Enables Life Scientists to Effectively and Rapidly Analyze Their Data Using the R Software Package. This is the second workshop of a three-workshop-cycle on statistics (Statistical Literacy - Data Analysis with R - Data Visualization with R).








To register for this course, please email imprs-bac@molgen.mpg.de.


Schedule

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

  • Start eLearning: 10th March 2025
  • 1st Group Session: 24th March 2025, 09.30 – 11.30
  • 2nd Group Session: 31st March 2025, 09.30 – 11.30
  • Study Session: 2nd April 2025, 14.30 – 16.30
  • 1:1 Mentoring Session: 7th April 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

Operate R using variables, functions, indexing and packages.
  • Import your own data regardless of size or format.
  • Perform standard statistical tests on large datasets.
  • Produce plots and highlight specific data points.
  • Begin programming in R using the apply functions.
  • Use split-combine-apply strategies for calculations and data manipulation.
  • Begin to adopt a bioinformatician’s perspective.


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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