“Master the R/Tidyverse”
This two-days introductory workshop focuses on boosting your data analysis and visualization expertise with R programming language.
The workshop is based on the R package Tidyverse (https://www.tidyverse.org/) and the R graphical user interface (GUI) RStudio (https://rstudio.com/). The tutors will guide you from loading your data in R, choosing a nice tidy data format, through data transformations, statistical modelling and cool visualizations, to communicating results in a reproducible report. We will proceed through a series of exercises.
At the end of the workshop, you will master publication-ready visualizations with ggplot2, data transformations and summarizing with dplyr and tidyr, working with dates, character strings, untidy data formats, generating reproducible reports with R Markdown, reading data with fast readr functions, and iterate through them with purrr package.
The course is highly inspired by the Garrett Grolemund’s course Master The Tidyverse. Due to space capacity, the workshop will be strictly limited to 20 participants. For participants from CEITEC and the Masaryk University, the course is offered for free. Every participant gets a collection of RStudio cheat-sheets.
I am a Bioinformatics Analyst that recently joined Panagiotis Alexiou’s lab, here at CEITEC, previously working at the Institute of Molecular Genetics (Prague) and The Jackson Laboratory (Bar Harbor, Maine, US). I also gained some industry experience at Central European Ai institute (Brno) and Google (California, US). I am Python and R enthusiast, working with R for more than 15 years, authoring several packages.
I am a data analyst completing my Ph.D. studies at CEITEC and Milan-University. I have been involved in several projects requiring the analysis and interpretation of biological datasets (you can read more at https://www.linkedin.com/in/agrioni/). I will be happy to answer any of your questions throughout the workshop. Looking forward to seeing you there!
Registration below is required.
if you have to cancel your registration unexpectedly, write to email@example.com