30060 - Bio-Demographic Lab

Learning outcomes

At the end of the course the student - knows how to integrate methodological knowledge with phenomenal interpretation - is able to carry out the various phases of statistical analysis of biodemographic phenomena - knows how to present the results of the analyzes carried out both in written and oral form

Course contents

• Analysis and development of the various phases of statistical analysis of bio-demographic phenomena
• Data acquisition and preparation
• Graphical data visualization (relationship between variables, spatial and network data)
• Use of the software R (commands and packages frequently used in the bio-demographic field)
• Interpretation and presentation of descriptive analyses and statistical models
  
  

 

Readings/Bibliography

Quantitative Social Science: An Introduction. Kosuke Imai, Princeton University Press

https://press.princeton.edu/books/hardcover/9780691167039/quantitative-social-science

Fundamentals of Data Visualization, Claus O. Wilke

https://clauswilke.com/dataviz/

Data Visualization: A Practical Introduction. Kieran Healy, Princeton University Press Link

https://socviz.co/

Data Visualisation: A Handbook for Data Driven Design. Andy Kirk, Sage

https://uk.sagepub.com/en-gb/eur/data-visualisation/book266150

Other resources will be distributed during class and all materials will be made available on Virtuale

Teaching methods

Lectures, group works, hands-on exercises using R

Non-attending students are asked to contact the teacher for specific indications regarding the materials.

Assessment methods

Preparation and presentation of a group report (details regarding the content will be discussed during the lab)

Non attending students are asked to contact the teachers for details.

Teaching tools

Computer lab; scripts and datasets will be made available on Virtual

Office hours

See the website of Saverio Minardi