Data Exploratory Analysis

Base Knowledge

This curricular unit requires a basic knowledge of statistics, corresponding to the Statistics curricular unit(s) of an undergraduate degree.

Teaching Methodologies

Theoretical-practical classes, as stipulated in the curriculum.

  • Theoretical component: exposition of concepts and resolution of illustrative examples; questions to the students during the presentation.
  • Practical component: resolution of illustrative and complementary practical exercises of the material exposed in theoretical classes, under the guidance of the teacher, but encouraging autonomous resolution (using statistical software).

Learning Results

This discipline aims to present a set of statistical techniques for analysing and interpreting data, using a statistical software.

Due to the inclusion of this discipline in an MSc course, it is intended that the students develop practical knowledge and skills in a statistical software to implement efficient analysis techniques to treat concrete problems.

Program

Chapter 1 – Basic Concepts

  • Introduction to SPSS
  • Review of Basic Statistics Concepts
  • Estimation and Hypothesis Testing

Chapter 2 – Multivariate Statistics

  • Factor analysis
  • Clusters analysis

Chapter 3 – Econometric Models

  • Regression models
  • Extension of the regression models

Curricular Unit Teachers

Internship(s)

NAO

Bibliography

Main Bibliography

Maroco, J. (2021). Análise Estatística com o SPSS Statistics. 8ª Edição, ReportNumber.
Alwan, L. C., Craig, B. A. and McCabe, G.P. (2020). The Practice of Statistics for Business and Economics, 5th Edition. Macmillan Learning.
Newbold, P., Carlson, W. and Thorne, B. (2019). Statistics for Business and Economics, 9th Edition. Pearson.

Complementary Bibliography

Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E. (2019). Multivariate Data Analysis, 8th Edition. Cengage.
Anderson, D.R., Sweeney, D.J. and Williams, T.A. (2000). Estatística Aplicada à Administração e Economia. Pioneira
Maroco, J. (2014). Análise de Equações Estruturais – Fundamentos teóricos, Software e Aplicações. Report Number
Hill, M., Hill. A. (2012). Investigação por questionário, 2.ª edição revista e corrigida. Edições Sílabo.