PhD in Statistics Researcher and Assistant Professor at Universidad Complutense

Welcome to my teaching materials

🕸 You can check all teaching materials at https://javieralvarezliebana.es/docencia/

Teaching materials

Subject	Description	Slides	Material
R for datascience	Introductory course in R for data science. The course includes an introduction to R base, functional programming, tidyverse, Quarto and dataviz with ggplot.	👨🏻‍🏫 Slides - diapositivas	📦 Material
Data programming	Introductory course in R for Computational Social Science. The course includes an introduction to R base, functional programming, tidyverse and Quarto.	👨🏻‍🏫 Slides - diapositivas	📦 Material
R for biostatistics	Introductory course in R for biostatistics. The course includes an introduction to R base, conditional structures, tidyverse, Quarto, dataviz with ggplot and packages for survival data.	👨🏻‍🏫 Slides - diapositivas	📦 Material
Time series	The aim of the course is to acquire the theoretical and practical knowledge (R software) necessary to fit time series models that allow to explain the historical evolution of correlated data over time and to predict their future behaviour.	👨🏻‍🏫 Slides - diapositivas	📦 Material
Supervised learning: linear modelling	The aim of the course is to acquire the theoretical and practical knowledge (R software) necessary for supervised linear modelling. Univariate linear regression, diagnosis, evaluation, multivariate linear regression, collinearity analysis, AIC/BIC model selection, penalized elastic net regression and introduction to logistic regression will be covered.	👨🏻‍🏫 Slides - diapositivas	📦 Material