The Elements of Data Analytic Style (Svensk Utgåva)
En guide för personer som vill analysera data.
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About
About the Book
Dataanalys är minst lika mycket konst som det är vetenskap. Denna bok fokuserar på detaljerna i dataanalys som ibland faller mellan stolarna i traditionella statistikkurser och läroböcker. Den baseras delvis på författarens blogginlägg, föreläsningsmaterial och handledningar som:
- 10 saker statistik lärde oss om analys av stora data
- Leek Group-guiden till R-paket
- Hur man delar data med en statistiker
Författaren är en av medutvecklarna till Johns Hopkins Specialisering i Data Science, det största data science-programmet i världen som har registrerat över 1,76 miljoner människor. Boken är användbar som ett komplement till introduktionskurser i data science eller dataanalys. Den är också ett användbart referensverktyg för personer som har till uppgift att läsa och kritisera dataanalyser.
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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.

Episode 19
An Interview with Jeffrey Leek
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