Currículo
Statistical Methods and Visualization SMV-DAB
Contextos
Groupo: Economia > 2º Ciclo > Parte Escolar > Unidades Curriculares Optativas > Optativa Condicionada 3 e 4
ECTS
6.0 (para cálculo da média)
Objectivos
By the end of this course, students should be able to manipulate and visualize data using the R language for statistical computing and graphics. They should also learn how to build and interpret simple regression models.
Programa
Introduction to the R language for statistical computing and graphics. The linear regression model. The logistic regression model. Fundamentals of data visualization.
Método de Avaliação
The teaching methodology encompasses both theoretical and practical aspects. In class, theoretical concepts are introduced alongside illustrative problems, which are presented and solved using the R language for statistical computing.
Carga Horária
Carga Horária de Contacto -
Trabalho Autónomo - 129.0
Carga Total -
Bibliografia
Principal
- ggplot2: Elegant Graphics for Data Analysis: Hadley Wickham 2016 Springer
- Fundamentals of Data Visualization: Claus O. Wilke 2019 O'Reilly
- The Art of R Programming: A Tour of Statistical Software Design: Norman Matloff 2011 No starch press
- A Modern Approach to Regression with R: Simon Sheather 2009 Springer
- An Introduction to Statistical Learning with Applications in R: Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani 2021 Springer