1. Knowledge and understanding. Students will achieve a solid understanding of descriptive statistics and of its use in basic and applied research.
2. Application of knowlege and understanding. Students will be able to use the R programming environment to describe simple data structures and to create graphical presentations.
3. Autonomy of judgment. Students will refine critical thinking and autonomy of judgment in relation to data description in technical reports.
4.Communication skills. Students will be able to communicate the results of descriptive data analyses, both by numeric summary statistics and by graphical tools.
5. Learning skills. Students will develop the ability to learn new techniques for data description especially within the R programming environment.