Detailed information about the course

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R: tidyverse for Data Science


5 & 12 November 2020


Dr Pauline Fritsch, UNINE


Dr Jan Wunder, Wunder Consulting Wald ZH Dr Tina Cornioley, ETH Zürich


Participants will be able to apply the R tidyverse, a powerful collection of R packages, for data science, to analyse their own data sets.

Particularly, there are going to learn:

  • the underlying common philosophy, data structure and grammar of the tidyverse packages.
  • the application of its fast and efficient libraries for data management, high-level visualisation, functional programming, date-time parsing and many more applications.


This two-day course for intermediate R users focuses on the tidyverse, a collection of R packages for data science.

We are going to focus on the two key packages dplyr ("The grammar of graphics") and ggplot2 ("The grammar of graphics") plus several more such as purrr (enhanced functional programming), tidyr (helpers to create tidy data sets), readr (fast & friendly data import/export), tibble (modern data frames), lubridate (easy and fast parsing of date-times) and forcats (tools for working with categorial variables).

The course is a mixture between brief presentations, demonstrations (on-screen, using R and RStudio) and supervised exercises ("learning by doing").






Course completion requirements:

  • Attendance - Presence and active participation is required during the entire course.
  • Home work - Participants are required to hand in a home work consisting of several exercises before 3 December 2020.

Please, reserve a day after the course for the completion of the homework!

1.0 ECTS will be attributed only after the completion of the homework. Certificates will be sent by post-mail.


NB covid: in agreement with the speaker, this workshop will be held on-site (in Neuchâtel) or on-line, depending on the evolution of the covid-19 situation. Therefore, you may register to this workshop without fear of cancellation!

!Requirements for attending and completing the workshop!
Familiarity with R before attending the workshop or previous attendance of an introductory course to R. Regular practice with R extending beyond the course is preferred.
Bring your own laptop to the workshop with recent versions of R and R-Studio installed. Make sure that your laptop is properly connecting to the University of Lausanne or eduroam WLAN.

Thursdays 5 & 12 of November 2020 (2 days)
9:25 - 17:00

Online, the Zoom link will be shared with the participants closer to the course start

Marta Bellone
Phone: +41 (0)26 300 88 91


As the course is held online, no reimbursement for travel expenses can be claimed.


Priority is given to PhD students from the Doctoral Programs in Organismal Biology and CUSO Ecology-Evolution (8 places each) until 11 October 2020. After this deadline, first comes, first serves

Please, register through the website of the Doctoral Program in Organismal Biology before 18 October 2020





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