ISLA IPGT 13030

Data Analysis and Processing

• ApresentaçãoPresentation

  The course Analysis and Data Processing is part of the scientific area of Statistics and focuses on the collection, organization, analysis, and interpretation of quantitative data.   Within the Digital Communication degree, it plays a key role in supporting data-driven decision-making, digital metrics analysis, and statistical modeling, contributing to the development of essential analytical skills for the digital professional context.
• ProgramaProgramme

  Course Contents Probability Distributions: normal, exponential, and t-Student distributions. Confidence Intervals: construction and interpretation for means, proportions, and variances. Hypothesis Testing: tests applied to means, proportions, and variances. Linear Regression: simple linear regression model, correlation coefficient, and coefficient of determination. Application of computational tools (Excel, SPSS, Python) for data processing and analysis.
• ObjectivosObjectives

  By the end of the course, students should be able to: Understand key concepts of probability and statistical inference, including theoretical distributions, confidence intervals, and hypothesis testing. Apply statistical techniques to analyze and interpret quantitative data. Use computational tools (such as Excel, SPSS, or Python) for data processing and visualization. Develop critical thinking skills in interpreting statistical results and applying them to real-world problems in the context of Digital Communication.
• BibliografiaBibliography

  GOMES, C. - Material de Apoio à Unidade Curricular de Análise e Tratamento de Dados. 1.ª ed. Vila Nova de Gaia: ISLA-IPGT, 2020. Documento de apoio pedagógico.   KAZMIER, Leonard J. - Estatística Aplicada à Economia e Administração. 2.ª ed. Lisboa: McGraw-Hill (Schaum), 1982. 430 p. Série Schaum. ISBN 9780070335073.   REIS, Elizabeth - Estatística Descritiva. 7.ª ed. Lisboa: Edições Sílabo, 2008. 280 p. ISBN 9789726184959.   PINTO, Rui - Introdução à Análise de Dados - Com Recurso ao SPSS. 2.ª ed. Lisboa: Edições Sílabo, 2012. 336 p. ISBN 9789726187035.  
• MetodologiaMethodology

  The course adopts a theoretical-practical approach focused on problem-solving and real-world application.   Active learning methodologies are implemented, including Problem-Based Learning, collaborative exercise solving, and the analysis of real datasets.   The integration of computational tools (Excel, SPSS, and Python) enhances applied technical skills. Interactive activities, dashboard development, and critical discussion of results are also encouraged, fostering autonomous learning and professional-oriented practice.
• LínguaLanguage

  Português
• TipoType

  Semestral
• ECTS

  6
• NaturezaNature

  Mandatory
• EstágioInternship

  Não
• AvaliaçãoEvaluation

   

  Descrição	Data limite	Ponderação
  Teste de Avaliação Global (TAG)	13-05-2026	45%
  Trabalho Final de Avaliação	29-04-2026	45%
  Assiduidade e participação em aula	---------------	10%

   

  Adicionalmente poderão ser incluídas informações gerais, como por exemplo, referência ao tipo de acompanhamento a prestar ao estudante na realização dos trabalhos; referências bibliográficas e websites úteis; indicações para a redação de trabalho escrito...