Class Data Analysis and Business Metrics

This curricular unit aims to provide students with a solid foundation in descriptive statistics and business metrics, enabling them to effectively analyze and interpret data in a business context.

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. (2011). Probabilidades e Estatística: Aplicações e Soluções em SPSS. Lisboa, Portugal: Edições Sílabo. - Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., Cochran, J. J., Fry, M. J., e Ohlmann, J. W. (2019). Statistics for Business & Economics (14th edition). Boston, USA: Cengage Learning. - Pestana, M. H., e Gageiro, J. N. (2014). Análise de Dados para Ciências Sociais - A Complementaridade do SPSS (6ª edição). Lisboa, Portugal: Edições Sílabo.