Advanced R for Data Science
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Data management is one of the most important topics of the last years. Collecting, understanding and using data are required skills for economic and social subjects. R is one of the most used languages in the world of data. Being an open-source programme, expert users can load new packages, therefore, R continuously improves. This course aims to equip students with advanced skills in RStudio programming. Topics covered include dataset merging, data visualization, data modeling, result exporting, and the creation of dynamic documents. Special attention will be given to the introduction and application of the Tidyverse package to enhance and streamline data analysis processes.
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