1. Univariate analysis of data
2. Graphical representation of data
3. Contingency tables.
4. Association between variables.
5. Correlation analysis.
6. Bivariate diagrams.
Learning activities and methodology
Competencies will be acquired by students through:
I] Master classes: 5 sessions
II] Practical classes: 5 sessions
Activities [I] and [II] will be devoted to developing exercises, problems, and case studies.
% end-of-term-examination 50
% of continuous assessment (assigments, laboratory, practicals...) 50
Thomas Cleff. Exploratory Data Analysis in Business and Economics. An Introduction Using SPSS, Stata and Excel. Springer. 2013
JAMES, G., WITTEN, D., HASTIE, T. and TIBSHIRANI, R. . An Introduction to Statistical Learning with Applications in R. Springer Verlag. 2013
The course syllabus and the academic weekly planning may change due academic events or other reasons.