---
title: "Nina Zumel og John Mount Practical Data Science with R"
ean: "9781617295874"
brand: "Nina Zumel og John Mount"
category: "Medier > Bøger > Trykte bøger"
price_min: 334
price_max: 334
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9781617295874/practical-data-science-with-r
last_checked: 2026-10-14
---

# Nina Zumel og John Mount Practical Data Science with R

EAN 9781617295874 · Mærke: Nina Zumel og John Mount · Kategori: Medier > Bøger > Trykte bøger

Sammenlign priser på Nina Zumel og John Mount Practical Data Science with R fra 1 forhandler. Billigste pris nu: 334 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9781617295874/practical-data-science-with-r

## Priser
- **Billigste pris nu:** 334 kr hos Saxo DK
- **Prisspænd:** 334 kr – 334 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 334 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> This invaluable addition to any data scientist’s library shows you how to apply the R programming language and useful statistical techniques to everyday business situations as well as how to effectively present results to audiences of all levels. To answer the ever-increasing demand for machine learning and analysis, this new edition boasts additional R tools, modeling techniques, and more. Practical Data Science with R, Second Edition takes a practice oriented approach to explaining basic principles in the ever-expanding field of data science. You’ll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. Key features • Data science and statistical analysis for the business professional • Numerous instantly familiar real-world use cases • Keys to effective data presentations • Modeling and analysis techniques like boosting, regularized regression, and quadratic discriminant analysis Audience While some familiarity with basic statistics and R is assumed, this book is accessible to readers with or without a background in data science. About the technology Business analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-day Nina Zumel and John Mount are co-founders of Win-Vector LLC, a San Francisco-based data science consulting firm. Both hold PhDs from Carnegie Mellon and blog on statistics, probability, and computer science at win-vector.com.

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Priserne er sidst kontrolleret 2026-10-14.