111022: Data Management and Visualization with R

Introductory course on data science, focused on the collection, management, visualization and analysis of data. We cover the entire data science pipeline from data acquisition to publication. The course will focus on the R statistical computing language and is addressed to second-year students of the Master's Degree Erasmus Mundus in Spatial and Ecological Modelling in European Forestry at the University of Lleida. The aim is to teach the students how to use R to effectively manage, clean, analyze and visualize data. The course is based on a “hands-on” approach, so that the students can easily transfer the acquired knowledge to real case studies, and even use it to process and analyze their own set of data, helping them in the preparation of their Master Thesis.


Course info

Teaching team and office hours

Aitor Ameztegui       upon request Building 4 - Office 2.04.2

Texts

These are the main texts used to prepare this course. All of them are either freely available, or available for loan in the library of the University of Lleida.

R for Data Science Grolemund, Wickham O'Reilly, 2016
Data visualization: a practical introduction Healy O’Reilly, 2019
Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures Wilke O’Reilly, 2019
The Functional Art: An introduction to information graphics and visualization Cairo New Riders Publishing, 2012
The truthful Art: Data, Charts, and Maps for Communication Cairo New Riders Publishing, 2016
Making data visual: a practical guide to using visualization for insight Fisher , Meyer O’Reilly, 2019
Good Enough Practices in Scientific Computing Wilson et al. PLoS Computational Biology 2016