Ce cours apparaît dans les formations suivantes :
• IÉSEG > MSc in Big Data Analytics for Business > Semester 1 > 4,00 ECTS

Pré requis

None

Objectifs du cours

At the end of the course, the student should be able to:
- be knowledgeable about the commercial analytical tools in business
- extract, manipulate, analyze and report data using SAS/Base & SAS/Macro
- detect the advantages and disadvantages of using an open source analytical tool
- find solutions for complex (coding) tasks within intercultural teams

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

Contenu du cours

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

Modalités d'enseignement

Organisation du cours

Méthodes pédagogiques

• Coaching
• E-learning
• Interactive class
• Presentation
• Project work
• Research

Évaluation

Details will be given in the first class.

Bibliographie

• The Little SAS Book: A primer: Fifth Edition, L. Delwiche, S. Slaughter, SAS Institute -