Checking date: 11/03/2024

Course: 2024/2025

Perspectives on Statistics
Master in Statistics for Data Science (Plan: 386 - Estudio: 345)

Coordinating teacher: CABRAS , STEFANO

Department assigned to the subject: Statistics Department

Type: Compulsory
ECTS Credits: 3.0 ECTS


Requirements (Subjects that are assumed to be known)
Statistica Inference
Acquisition of knowledge on: 1) perspective on the applications and use cases of statistics today in the business environment; 2) analytical skills needed in a statistical consultancy service; 3) knowledge of statistical issues in business and research institutes. 3) knowledge of statistical issues in business and in research institutes 4) elements of multiple hypothesis testing 5) Elements of causal inference
Skills and learning outcomes
Description of contents: programme
1. The AMA^{-1} perspective 2. Research topics at the Department of Statistics 3. The business with statistics 4. Statistics in applied research 5. Statistical consulting 6. Elements of Multiple testing 7. Elements of Causal Inference This program will address a wide range of practical examples and database applications, focusing on critical issues such as the treatment of sustainability and climate change, the promotion and protection of Human and Fundamental Rights, gender equality, and the promotion of equal treatment and non-discrimination, as well as the importance of universal accessibility. Each of the seven-course topics will be enriched with case studies and data analysis reflecting these essential themes, providing students with a deep and applied understanding of how statistics can be a powerful tool to address and solve some of the most important and urgent issues of our current society.
Learning activities and methodology
Lecturing activities with heads of research services in companies and research institutes. Lectures on elements of causal inference and multiple hypothesis testing.
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100
Calendar of Continuous assessment
Basic Bibliography
  • Alex Dmitrienko, Ajit C. Tamhane, and Geert Molenberghs. Multiple Testing Problems in Pharmaceutical Statistics. Chapman & Hall CRC. 2010
  • Guido W. Imbens and Donald B. Rubin, . Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction. Cambridge University Press. 2015
  • Javier Cabrera and Andrew McDougall. Statistical Consulting. Springer. 2002
Additional Bibliography
  • David Spiegelhalter. The Art of Statistics: Learning from Data. Pelican. 2019

The course syllabus may change due academic events or other reasons.

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