R for reproducible scientific analysis. Choose your own path
This course in Spanish, conducted with Florencia D’Andrea introduces the programming language R to perform reproducible scientific analyzes. It has four parts in which the different steps of the Data Science process are reviewed and it is seen what tools R provides to be able to perform it in a reproducible way.
You can access the course material here: https://flor14.github.io/r_inta/
We made a shorter version of this same course in the framework of the 11th Argentine Congress of AgroInformatics that was held in Salta during September 2019.
You can access the course material from this second edition here: https://flor14.github.io/r_cai_2019/