Book Name: Practical Data Science with R
Author: Jim Porzak, John Mount, Nina Zumel
File size: 20.7 MB
File format: PDF
Practical Data Science with R Pdf Book Description:
It describes basic principles with no theoretical mumbo-jumbo and jumps directly to the true use cases you will confront as you collect, curate, and also examine the information crucial to the achievement of your company. You will put on the R programming terminology and statistical evaluation methods to carefully clarified examples based in advertising, business intelligence, and decision support. Buy of this print publication contains a free eBook from PDF, Kindle, and ePub formats from Manning Publications.
Business analysts and programmers are collecting, curating, assessing, and reporting crucial business information. The scripting language and its related tools offer a simple approach to handle daily data science jobs without a great deal of educational theory or advanced math.
Practical Data Science with R teaches you how you can use the R programming language and helpful statistical methods to everyday business situations. Using examples from advertising, business intelligence, and decision support, it demonstrates how you can design experiments (for instance, A/B evaluations ), construct predictive models, and current results to viewers of all degrees.
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