The BIOINforMA group at SZN is proposing to PhD students (but also to interested post-docs and researchers) an introductory course on data management and visualization in R. The course is based on the so-called Data Carpentry approach.
Data Carpentry is aimed at training researchers in the core data skills for efficient, shareable, and reproducible research practices.
COURSE DESCRIPTION:
it is a two-day hands-on workshop designed for participants with no programming experience. It will teach students how to handle big datasets employing R. The specific topics covered are: Thinking beyond Excel, Introduction to R, Working with data in R, Working with command line and automation, Bioinformatics, Data handling.
AIMS:
by the end of the workshop each participant should be able to combine, refine, edit, merge and visualize large datasets in an open and reproducible way.
DATA CARPENTRY CERTIFIED INSTRUCTOR:
Alessandra Vigilante, from the King’s College of London, UK.
GENERAL TIMETABLE:
Day 1.
Morning: Data organisation in spreadsheets;
Afternoon: Introduction to R and Rstudio.
Day 2.
Morning: Data manipulation using R;
Afternoon: Data visualisation using R.
More details about the course are available here.
REQUIREMENTS:
each participant should bring her/his own laptop equipped with R, RStudio and Excel.