Skip to main content

ISLA IPGT 24862

Quality Management and Exploratory Data Analysis

Analytics and Business Data Science
  • ApresentaçãoPresentation
    The course covers the principles of data management and data quality, as well as fundamental practices that impact the quality and pre-processing of data in Data Science projects. The course is essential for the training of professionals in the field of Data Science, ensuring that they have the skills to guarantee the quality and proper preparation of data before conducting complex analyses. With a strong emphasis on practical application through tools like R and Tidyverse, students will be better prepared to tackle real-world data science problems in a business context.
  • ProgramaProgramme
    Gestão da qualidade DATA MANAGEMENT DATA GOVERNANCE DATA QUALITY and MASTER DATA MANAGEMENT Análise exploratória e processamento dos dados DATA QUALITY AND PRE-PROCESSING NEED FOR DATA PREPARATION INTRODUCTION TO R/R-STUDIO AND THE TIDYVERSE MAJOR TASKS IN DATA PREPARATION Data integration Discretization of Continuous Variables Data cleaning Dara transformation Data reduction 
  • ObjectivosObjectives
    Acquire knowledge on the topics described in the course content. Develop critical thinking about data quality issues and gain the ability to identify them in real use cases. Acquire practical skills in solving data quality and pre-processing problems.
  • BibliografiaBibliography
    Fornecido nos materiais de aula (moodle).  
  • MetodologiaMethodology
    Whenever possible, alternatives to more theoretical expositions of content will be introduced. Namely: Group work to foster discussions and small presentations in class Exercises based on real data problems to be solved individually or in groups during class.
  • LínguaLanguage
    Português
  • TipoType
    Anual
  • ECTS
    2
  • NaturezaNature
    Mandatory
  • EstágioInternship
    Não
  • AvaliaçãoEvaluation

    Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.

    Exemplo:

    Descrição

    Data limite

    Ponderação

    Teste de avaliação

    14-02-2026

    100%

     

     

     

    (...)

     

     

     

    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...