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Introduction to Data Science

Descrizione

Data Science is a scientific field that aims to extract knowledge and insights from data. In inductive practice one is interested to learn about the state of the world given some event, i.e., the data. Data Science is probability theory turned upside down. In this course we will learn about ``estimation'' procedures, in particular, maximum likelihood and the method of moments, and some of their theoretical properties. Furthermore, we learn about hypothesis testing. Then we apply both estimation and testing to a practical setting: linear regression analysis. Regression analysis is at the basis of many more advanced techniques that you will encounter during your Master. We will describe logistic regression as one possible extension.

 

PREREQUISITES
Introduction to Computational Science

 

REFERENCES

  • Statistical Inference, Casella and Berger, Duxbury, 2th edition.
    Available at https://fsalamri.files.wordpress.com/2015/02/casella_berger_statistical_inference1.pdf.

Persone

 

Wit E. C.

Docente titolare del corso

Ceoldo G.

Assistente

Informazioni aggiuntive

Semestre
Autunnale
Anno accademico
2019-2020
ECTS
6
Lingua
Inglese
Offerta formativa
Master of Science in Computational Science, Corso di base, Corso, 1° anno

Dottorato in Scienze informatiche, Corso a scelta, Corso, 2° anno (4 ECTS)

Dottorato in Scienze informatiche, Corso a scelta, Corso, 1° anno (4 ECTS)