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The Elements of Data Analytic Style (Edizione Italiana)

Una guida per le persone che vogliono analizzare i dati.

This book is a translation into Italian of The Elements of Data Analytic Style which was originally written in English

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About

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About the Book

L'analisi dei dati è almeno tanto un'arte quanto una scienza. Questo libro si focalizza sui dettagli dell'analisi dei dati che a volte cadono tra le maglie nelle lezioni di statistica tradizionali e nei libri di testo. Si basa in parte sui post del blog dell'autore, sui materiali delle lezioni e sui tutorial come:

L'autore è uno dei co-sviluppatori della Specializzazione in Scienza dei Dati di Johns Hopkins, il programma di scienza dei dati più grande al mondo che ha iscritto più di 1,76 milioni di persone. Il libro è utile come guida ai corsi introduttivi di scienza dei dati o analisi dei dati. È anche uno strumento di riferimento utile per le persone incaricate di leggere e criticare le analisi dei dati.

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This book is a translation into Italian of The Elements of Data Analytic Style which was originally written in English

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Jeff Leek

Jeff is Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics at the Fred Hutchinson Cancer Center. Previously, he was a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab. His group develops statistical methods, software, data resources, and data analyses that help people make sense of massive-scale genomic and biomedical data. As the co-director of the Johns Hopkins Data Science Lab he helped to develop massive online open programs that have enrolled more than 8 million individuals and partnered with community-based non-profits to use data science education for economic and public health development. He is a Fellow of the American Statistical Association and a recipient of the Mortimer Spiegelman Award and Committee of Presidents of Statistical Societies Presidential Award.

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Episode 19

An Interview with Jeffrey Leek

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Contents

Table of Contents

1.Introduzione

2.La domanda di analisi dei dati

3.Organizzare i dati

4.Verifica dei dati

5.Analisi esplorativa

6.Modellazione statistica e inferenza

7.Previsione e apprendimento automatico (machine learning)

8.Causalità

9.Analisi scritte

10.Creazione di grafici

11.Presentazione dei dati

12.Riproducibilità

13.Alcune questioni di forma

14.La checklist per l’analisi dei dati

15.Risorse aggiuntive

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