Practical Data Science with R
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.

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.

What's inside

Data science for the business professional

Statistical analysis using the R language

Project lifecycle, from planning to delivery

Numerous instantly familiar use cases

Keys to effective data presentations

This book is accessible to listeners without a background in data science. Some familiarity with basic statistics, R, or another scripting language is assumed.

Nina Zumel and John Mount are cofounders of a San Francisco-based data science consulting firm. Both hold PhDs from Carnegie Mellon and blog on statistics, probability, and computer science.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.