I am a professor at the Faculty of Economic Sciences of the UNCPBA in the subject "Introduction to Programming in R". At the same time, I use the language for other practices. I am currently using Python and in the area of Data Science the libraries are very similar in that sense.

I am a teacher at the Faculty of Economic Sciences of the UNCPBA, in the subjects "Introduction to Data Analysis and Data Mining" and in turn in an elective "Introduction to Programming in R". In both, the objective is to be able to carry out a complete data analysis (always thinking that they are undergraduate students), from the moment of data collection to its visualization and presentation.

Take a course within the Coursera platform, taught by google, with certification "Google Specialization in Google Data Analysis", in which, among other topics (and in the final work), an analysis from data intake was worked on , its analysis, cleaning, transformation and later visualization.