Class Data Analysis and Business Metrics

The course unit falls within the area of statistics applied to management, supporting the collection, processing, and interpretation of data to inform decision-making in commercial contexts. Its scope includes exploratory analysis, an introduction to SPSS and the practical application of exploratory data analysis, as well as statistical inference through hypothesis testing. It also covers index numbers and deflation to enable time-based comparisons in real terms. The course unit is relevant within the degree programme because it develops data literacy, analytical rigor, and the ability to communicate results-essential for performance in commercial management.

Not applicable

1) Descriptive statistics: Introduction. Population and sample. Parameters and statistics. Variables and their classification. Tables and graphics for univariate and bivariate data. Descriptive measures. Simple linear regression. Introduction to SPSS. 2) Business metrics: Introduction. Index numbers. Simple and aggregated indexes. Consumer and producer price indexes. Value deflation. Quantity indexes.

Classes are of theoretical and practical nature, where the theoretical exposition of the syllabus is accompanied by the presentation of practical examples and exercises. Computers with the SPSS software will be used. Problem-based learning will be promoted, where the students, guided by the teacher, should identify problems and plan and carry out resolution paths.

Afonso, A., e Nunes, C. (2019). Probabilidades e Estatística: Aplicações e Soluções em SPSS. Universidade de Évora Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., e Cochran, J. J. (2017). Statistics for Business & Economics (13th edition). Boston, USA: Cengage Learning