Data processing with R tidyverse (2021-11-11)

11 November 2021 - 16 November 2021 Four days, Online Register here

Description

R is a powerful language for data science in many disciplines of research with a steep learning curve. The tidyverse group of packages provide a dialect that greatly simplifies data importing, cleaning, processing, and visualization as well as providing reproducible workflows, replacing many intricacies of R with clear and easy to learn syntax.

The course will be run on Thursday 11, Friday 12, Monday 15 and Tuesday 16 November, 2021.

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 90% of the time spent in analysis — speeding this up is the mission of this course.

The Course website details the requirements, schedule and necessary preparations.

Students will receive 1 ECTS in category 1, which requires solving the exercises presented in the course. Students that completed this course in the previous years are not eligible for ECTS.

This iteration of the course will focus on solving practical programming challenges of participants.

Requirements

Participants must have basic experience in R or intermediate experience in other programming environments for data analysis such as Matlab, Octave or Python. This is not a beginners’ course to programming.

Agenda

Please see the detailed instructions on our Course website

Schedule at glance

Day 1 will review the basics of R and loading data via the readr package as well as Markdown.

Day 2 will introduce tidying and organising data via the tidyr and dplyr packages as well as ggplot2 for visualisation.

Day 3 will look at functional programming tools using the purrr package, which greatly simplifies repeating operations. Many statistical packages have complicated and idiosyncratic data structures. The broom package helps to convert them to consistent data structures.

Participants are encouraged to bring their own data for analysis, convert existing code to tidyverse or perform a project on Day 4.

Registration

Registration is open. The course is limited to 50 participants.

Speakers

Aurélien Ginolhac (DLSM)

Roland Krause

Roland Krause (LCSB, Elixir-Luxembourg)

Veronica Codoni

Veronica Codoni (LCSB, Elixir-Luxembourg)

Milena Zizovic (LCSB)

Contact

Roland Krause Aurélien Ginolhac