The Elements of Data Analytic Style (Norsk Utgave)
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The Elements of Data Analytic Style (Norsk Utgave)

En guide for folk som ønsker å analysere data.

Om boken

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:

  •    10 ting statistikk lærte oss om stor dataanalyse
  •    Leek-gruppens guide til R-pakker
  •    Hvordan dele data med en statistiker

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.

This book is a translation into Bokmål of The Elements of Data Analytic Style which was originally written in Engelsk.

Om forfatteren

Jeffrey Leek
Jeff Leek

Jeff Leek is an Associate Professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health. His research focuses on the intersection of high dimensional data analysis, genomics, and public health. He is the co-editor of the popular Simply Statistics Blog and co-director of the Johns Hopkins Specialization in Data Science the largest data science program in the world that has enrolled more than 1.76 million people.

Innhold

  • 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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