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Practical Data Science with R, Second Edition by Nina Zumel; John Mount, (Computational scientist); Jeremy Howard; Rachel Thomas is a book available to read on EtoBox.
What is Practical Data Science with R, Second Edition about?
Summary 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. About the technology Evidence-based decisions are crucial to success. Applying the right data analysis techniques to your carefully curated business data helps you make accurate predictions, identify trends, and spot trouble in advance. The R data analysis platform provides the tools you need to tackle day-to-day data analysis and machine learning tasks efficiently and effectively. About the book Practical Data Science with R, Second Edition is a task-based tutorial that leads readers through dozens of useful, data analysis practices using the R language. By concentrating on the most important tasks you'll face on the job, this friendly guide is comfortable both for business analysts and data scientists. Because data is only useful if it can be understood, you'll also find fantastic tips for organizing and pr
- Author
- Nina Zumel; John Mount, (Computational scientist); Jeremy Howard; Rachel Thomas
- Publisher
- Manning Publications Co. LLC
- Published
- 2019
- Language
- EN
- ISBN
- 9781617295874
- Subjects
- Science, Management, Computer Science
- Updated
- 2026-03-24
Other editions & translations
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