Formation/Cours

At the end of the course, the student should be able to:
– extract, manipulate, analyze and report data using R
– formulate the appropriate strategic solutions to answer to complex managerial problems
– decompose the complex problems into smaller subquestions
– look for online data sources and cutting-edge information to extract knowledge and provide the solutions
– demonstrate an expertise on key concepts, techniques and trends in the field of data analytics
– serve as a reference point for expertise-related questions in terms of data analysis
– create the solutions in a multicultural team and environment, being able to operate in a globalized environment

These competencies and/or skills contribute to the following learning objectives
– 1.B Successfully collaborate within a intercultural team
– 3.A Breakdown complex organizational problems using the appropriate methodology
– 5.B Construct expert knowledge from cutting-edge information
– 7.A Demonstrate an expertise on key concepts, techniques and trends in their professional field
– 7.B Formulate strategically-appropriate solutions to complex and unfamiliar challenges in their professional field
– 7.D Be a reference point for expertise-related questions and ambiguities

– Run R programs in a PC environment
* Read raw input files in various formats and create R datasets
* Create new variables in the data step
* Use R procedures to describe data numerically and graphically
* Annotate R output with informative titles, labels, and formats
* Work with R datasets: sort, subset, merge, and re-format R datasets
* Use R scripts for basic statistical inference
* Create a Shiny application to create interactive reports
* Export R data and output to other computers and softwares