Adopt Hadley Wickham, Chief Scientist at RStudio, philosophy: take each step of data science and replace many intricacies of R with clear, consistent and easy to learn syntax. RStudio will be the software to use since it eases package management, scripting, plotting and data handling.
The four day course provides a complete introduction to data science in R with the tidyverse. The course will not go deep into statistics but rather getting data ready, some exploratory analysis, visualization and handling models.
Preparing data takes up to 80% of the time spent in analysis — speeding this up is the mission of this course.
In terms of R packages, the workflow is nicely depicted as in this picture, by David Robinson
Participants should have basic experience in programming environments such as Matlab, Octave or other programming languages or complete a simple free online course.
There is a special session on updates of the tidyverse on 30 November 2020 for participants of previous iterations of the course. No registration is required to attend.
Each student must bring their own laptop with R and Rstudio installed with recent versions. Please look at install tutorial to set it up prior to the course.
Each day, the workshop will be a mixture of lectures and practicals from:
Please join us for the welcome coffee to test your connection, R set-up and to pose questions.
|2020-12-01||09:30||New developments in 2020||AG|
Rand loading data via the
readrpackage as well as
dplyrpackages as well as
purrrpackage, which greatly simplifies repeating operations. Many statistical packages have complicated and idiosyncratic data structures. The
broompackage helps to convert them to consistent data structures.
The course will be held online using Webex. The lectures (only) will be recorded. It will not be available during the course time.
Please join the chat room for questions and communication around the workshop.
The course is limited to 30 participants. All seats have been taken.
PhD students that enrolled through the doctoral school will receive 2 ECTS in category 1, which requires handing in a short project and practicals as Rmd files that students miss. For example if you are absent the first day, you must do and send back:
Please note that ECTS can only be received for the course once. If you already have received ECTS for the last version of the course, no ECTS can be awarded for this year’s edition.
This event is supported by ELIXIR-Luxembourg