Cursos / 1º Ciclo / Faculty of Economy and Business Management :: Marketing

ANÁLISE DE DADOS - 2025/2026

1º curricular year
Semestralidade: 1st semester
ECTS: 6

Teachers

Leading Teacher: Prof. Doutora Paula Rodrigues
Assistant Professor: Prof. Doutora Paula Rodrigues

Class type and School hours

Teórico-prática : 2 Horas
Orientação Tutorial : 1 Horas

Teaching Language

Portuguese

Main Aims/Objectives

As part of the curriculum of a Management Degree, Data Analysis aims to provide students with an overview of the use of applied quantitative methods, while promoting the development of a sustainable awareness regarding the responsible use of resources and minimising the environmental and social impact of management practices.

Specific Aims/Objectives

It is intended to provide students the knowledge and enough instruments which relate to the use of logic and statistical methods in the quantitative study of the environment, based on the collection, interpretation and quantification of data, using exemples of sustainability.

Skills to be acquired

Understand the techniques that allow the collection of data in economics.
Understand the methods of quantification of data.
To understand the differences between the various techniques for data analysis.
Understand the use of the results.

Teaching Procedures

Theoretical and practical exercises solved on the same concepts are developed. Students will have a set of exercises to practice the skills acquisition

Programme

Introduction to Data Analysis
1.1. Population and Sample
1.2. Classification of Data
2 Descriptive analysis of data - Basic concepts of descriptive statistics
2.1. Location measures
2.2. Measures of variability
2.3. graphical representations
3 Models of Correlation
3.1. correlation
4 Linear Regression Models
4.1. Estimation of Linear Regression Models
4.2. The coefficient of Determination Test and Global Significance of Model

Evaluation Type

Students will be assessed according to the assessment regime of Lusiada Universities.

Teaching Resources

The lectures will be given using electronic means and SPSS software. Will be provided a set of more practical exercises for students to acquire skills. All material support classes will be placed on the e-learning system at the University.

Sustainability Objectives

Sustainability Objectives
(1) Promote Sustainable Statistical Literacy: Empower students to understand, analyse and interpret data critically, supporting business decisions aligned with ethical principles and sustainable development.
(2) Apply Data to Support Organisational Sustainability: Use descriptive, correlation and regression analysis methods to identify patterns that can optimise resources and reduce waste.

Keywords

data,
sample,
statistics
analysis

Main Bibliography

Complementary Bibliography