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The Elements of Data Analytic Style (Norsk Utgave)

En guide for folk som ønsker å analysere data.

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This book is a translation into Norwegian (Bokmål) of The Elements of Data Analytic Style which was originally written in English

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About

About

About the Book

Dataanalyse er minst like mye kunst som det er vitenskap. Denne boken fokuserer på detaljene i dataanalyse som noen ganger faller mellom to stoler i tradisjonelle statistikkurs og lærebøker. Den er delvis basert på forfatterens blogginnlegg, forelesningsmateriale og opplæringsprogrammer som:

Forfatteren er en av medutviklerne av Johns Hopkins spesialisering i datavitenskap - det største datavitenskapsprogrammet i verden som har registrert over 1,76 millioner mennesker. Boken er nyttig som et supplement til introduksjonskurs i datavitenskap eller dataanalyse. Den er også et nyttig referanseverktøy for folk som har i oppgave å lese og kritisere dataanalyser.

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This book is a translation into Norwegian (Bokmål) of The Elements of Data Analytic Style which was originally written in English

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About the Authors

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.Innledning

2.Dataanalytisk spørsmål

3.Organisering av data

4.Kontrollerer dataene

5.Utforskende analyse

6.Statistisk modellering og inferens

7.Prediksjon og maskinlæring

8.Kausalitet

9.Skriftlige analyser

10.Å lage figurer

11.Presentering av data

12.Reproduserbarhet

13.Noen formelle saker

14.Sjekklisten for dataanalyse

15.Ytterligere ressurser

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