docencia
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 |