ISLA IPGT 26070

Data Analysis Tools

• ApresentaçãoPresentation

  The course unit Data Analysis Tools is part of the field of Digital Communication and aims to provide students with practical and analytical skills applied to the collection, processing, interpretation, and visualization of data.   Its scope focuses on the use of tools such as Excel, Power BI, Metricool, and Google Analytics to transform information into actionable knowledge, supporting strategic and operational decision-making.   This unit is essential for strengthening digital literacy and critical analytical capacity in professional contexts of marketing and communication.
• ProgramaProgramme

  Introduction to Data Analysis Data Collection Data Editing, Processing, and Transformation Data Analysis Reports and Dashboards Data Analysis Tools: Excel, Power Query, Power BI, Tableau, Metricool, Google Analytics
• ObjectivosObjectives

  This course aims to provide students with a comprehensive understanding of data analysis applied to digital communication and organizational contexts.   Students will develop the ability to collect, process, and visualize data, mastering professional tools such as Excel, Power BI, Google Analytics, and Metricool.   They will acquire the skills to interpret digital metrics, build analytical dashboards, and produce evidence-based reports to support informed decision-making.   The course also promotes analytical reasoning, critical thinking, and autonomy in the use of data for strategic purposes.
• BibliografiaBibliography

  Oliveira, P. N. D. (2025). Materiais de apoio e conteúdos pedagógicos da unidade curricular Ferramentas para Análise de Dados. ISLA-IPGT. Carvalho, A. (2015). Exercícios de Excel para Estatística. Lisboa: FCA. Carvalho, A. (2019). Exercícios de Power BI – Importação, Edição e Visualização de Dados. Lisboa: FCA. St. Aubyn, M., & Venes, N. (2011). Análise de Dados: Aplicações às Ciências Económicas e Empresariais. Lisboa: Dashöfer Holding.
• MetodologiaMethodology

  Innovative methodologies: practical workshops (“Data Labs”) with real datasets, gamification and digital simulations, project-based learning (PBL), storytelling with data, use of digital tools (Power BI, Metricool, Google Analytics, Excel), and responsible integration of generative AI (ChatGPT, Gemini, Copilot).
• LínguaLanguage

  Português
• TipoType

  Semestral
• ECTS

  6
• NaturezaNature

  Mandatory
• EstágioInternship

  Não
• AvaliaçãoEvaluation

  Descrição	Data limite	Ponderação
  Teste de avaliação	08-01-2026	50%
  Trabalho	15-01-2026	40%
  Assiduidade e participação	------------	10%

   

  Critérios: qualidade técnica, cumprimento de prazos, comunicação visual e ética no uso de IA generativa.