Skip to main content

ISMAT 1790

Exploratory Data Analysis

Data Science
  • ApresentaçãoPresentation
    The value of data is now recognized in the most varied areas of application, being increasingly in support of decision making. This Curricular Unit starts by introducing the introductory concepts of Statistics, followed by the presentation of various types of tables, graphs and descriptive measures that can be used to organize and characterize the data. It is also analyzed, graphically and analytically, the correlation between quantitative variables and simple linear regression models are developed. The use of R software for data analysis is introduced in this UC.  
  • ProgramaProgramme
    S1: Introduction to Statistics Basic concepts of Statistics Statistical method steps Variables and their classification Data collection methods S2: Descriptive Statistics Location, dispersion, asymmetry and kurtosis measures Frequency and contingency tables Graphical representations S3: Correlation and Linear Regression Linear correlation Simple linear regression S4: Data Analysis using R Software   
  • ObjectivosObjectives
    At the end of this course unit, students should be able to: LO1: Understand the basic uses and concepts of statistics; LO2: Represent data through tables;  LO3: Represent data through graphs; LO4: Calculate and interpret descriptive measures; LO5: Analyze correlations and fit simple linear regression models to data; LO6: Use R software for statistical data analysis.  
  • BibliografiaBibliography
    Hill, M., Hill, A. (2008). Investigação por Questionário. (2ª ed.). Lisboa: Edições Sílabo. Maindonald, J. & Braun, W.J. (2010) Data analysis and graphics using R: an example-based approach. (3rd ed.). Cambridge University Press.  
  • MetodologiaMethodology
    The teaching methodology includes the expository method (TM1) to present the contents, the demonstrative method (TM2) to illustrate its application to practical cases and the active method (TM3) to solve classroom exercises, with and without the use of a computer. Real datasets and statistical software are used to promote the critical interpretation of results and the practical application of the concepts.    
  • LínguaLanguage
    Português
  • TipoType
    Semestral
  • ECTS
    6
  • NaturezaNature
    Mandatory
  • EstágioInternship
    Não