Practical Data Science With R [2nd Edition] (2020): Nina Zumel, John Mount, Jeremy Howard, Rachel Thomas

by Nina Zumel John Mount

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. 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. Source Code available

813 pages, Kindle Edition

Published May 25, 2020