R-programming for Data Science

The statistical software R has come into prominence due to its flexibility as an efficient language that builds a bridge between software development and data analysis. For example, one strength of R is the facility to develop and quickly adapt to the different needs coming from the data management and analysis community while at the same time making use of other languages in order to deliver computationally efficient solutions. The general goals of the course are:

  • introduce tools and workflow for reproducible research (R/RStudio, Git/GitHub, etc.);
  • introduce principles of tidy data and tools for data wrangling;
  • exploit data structures to appropriately manage data, computer memory and computations;
  • data manipulation through controls, instructions, and tailored functions;
  • develop new software tools including functions, Shiny applications, and packages;
  • manage software development process including version control, documentation (with embedded code), and dissemination for other users;
  • introduce the most recent SAS analytics tools (free access) with R and Python integration, through business related case studies.

Most of the course content can be found at https://smac-group.github.io/ds/


Course credits

equivalence of 3 ECTS credits


Target Audience

Students with interests in analytics methods and numerical sciences.

This course is designed for:

  • master/Ph. D. students
  • professionals engaged in data science/data analytics for business and others.



Final Deadline 15 April 2019

  • Tuition fees: CHF 1350*
  • External students : CHF 990*
  • UNIGE students (limited number of places): CHF 300* NO MORE PLACES AVAILABLE
  • UNIGE students: FREE for master and Ph. D. students of the GSEM ( + mandatory CHF 100 adminitrative fees) NO MORE PLACES AVAILABLE

*Including 100 CHF non refundable administrative fees


Facilitated application requirements for this specifc course:

  • Motivation letter (Mandatory)
  • CV (Optional)
  • Reference letter (Not required. Please upload an empty word document instead.)

Faculty & Staff

Prof. Maria-Pia Victoria-Feser, director

Prof. Stéphane Guerrier, principal teacher

Markus Grau, SAS

Coming soon...