Skip to content

Opening book details…

Can I read Practical Data Science with R on EtoBox?

Practical Data Science with R by Nina Zumel; John Mount, (Computational scientist) is a science book available to read on EtoBox.

What is Practical Data Science with R about?

Summary Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book 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 data science tasks without a lot of academic theory or advanced mathematics. Practical Data Science with R shows you how to apply the R programming language and useful statistical techniques to everyday business situations. Using examples from marketing, business intelligence, and decision support, it shows you how to design experiments (such as A/B tests), build predictive models, and present results to audiences of all lev

Who reads Practical Data Science with R?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Nina Zumel; John Mount, (Computational scientist)
Publisher
Manning Publications; Manning Publications Co.
Published
2014
Language
EN
ISBN
9781617291562
Category
science
Subjects
Computer Science, Mathematics, Science
Rating
4.12 / 5 (59 ratings)
Updated
2026-03-13

Other editions & translations

More by Nina Zumel; John Mount, (Computational scientist)

Browse all works by Nina Zumel; John Mount, (Computational scientist)

Similar books