Class Analysing Data and Information in Practice

The techniques for collecting, organizing, and analyzing data provide essential information for a wide range of management activities. In this course unit, students will have the opportunity to become familiar with some of these techniques through an approach in which, after being conceptually introduced to their nature and significance, they are encouraged to apply them in solving real-world cases. This enables students to deepen and consolidate their understanding and mastery of these techniques.

Not applicable

Introduction. Data and information. Usefulness and relevance. Types of data. Graphical representations. Frequency tables. Statistical measures of central tendency and dispersion. Regression and correlation. Fitted curve. Linear correlation and determination coefficients. Confidence intervals. Hypothesis testing.

A series of exercises is proposed with the aim of consolidating knowledge and stimulating problem-solving skills. In each session, students are encouraged to engage with questions related to the topics covered in class. Assessment is based on three individual assignments submitted at the end of the module.

Pedrosa, A.C., Gama, S.M. (2018). Introdução computacional à Probabilidade e Estatística, Porto Editora Niewiadomska, M., (2021). Probability and Statistical Inference, J. Wiley and SonsLtd