Practical Data Science with R
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 levels.
| Details | |
|---|---|
| Herausgeber | Manning |
| Autor(en) | Nina Zumel, John Mount |
| ISBN | 978-1-61729-156-2 |
| veröffentlicht | 2014 |
| Seiten | 416 |
| Sprache | English |



