Programming for Business - R Module

Master course, NOVA IMS - Universidade Nova de Lisboa, 2020


  • Read, create, manipulate the main objects of R;
  • Install libraries in R;
  • Use the resources available in libraries;
  • Use the main data manipulation functions;
  • Use the main graphic resources of R;
  • Use the main functionalities of statistical inference libraries;
  • Program functions.


  • Introduction to R
  • Libraries
  • Objects
  • Data Manipulation
  • R Functionalities


  • Hadley Wickham and Garrett Grolemund. 2017. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (1st. ed.). O’Reilly Media, Inc.
  • Adler, J., R in a nutshell: A desktop quick reference, 1st Edition, O’Reilly Media, 2010.
  • Gardener, Mark. Beginning R: The statistical programming language. John Wiley & Sons, 2012.
  • Teetor, P., R cookbook: Proven recipes for data analysis, statistics, and graphics, O’Reilly Media, 2011.