Detailed information about the course
R: Tidyverse for Data Science
4-5 November 2021
Dr Pauline Fritsch, UNINE
Dr Jan Wunder, Wunder Consulting Wald ZH
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").
University of Lausanne
Course completion requirements:
Please, make sure your have a day after the course for the completion of the homework!
!Requirements for attending and completing the workshop!
PhD students of the DPEE are eligible for the reimbursement of incurred travel expenses by train (half-fare card, and 2nd class).
The online reimbursement system is now in place, so once the course is over you will be able to request the reimbursement via MyCUSO, without sending the paperwork to the coordinator. More information: Reimbursement
Please contact the coordinator of the doctoral program (ecologie-evolution(at)cuso.ch) BEFORE the beginning of the course. NO reimbursement of accommodation without the coordinator of the doctoral program agreement prior of the course. In case of overnight stay, please post the original tickets and original bills along with the reimbursement form to:
NO reimbursement of meal expenses.
Priority is given to PhD students from the Doctoral Programs in Organismal Biology and CUSO Ecology-Evolution (8 places each) until 11 October 2021. After this deadline, first comes, first serves
Please, register through the website of the Doctoral Program in Organismal Biology before 17 October 2021
Free for participants enrolled in the CUSO Ecology & Evolution doctoral program.
|Deadline for registration|