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Practical Data Science with R

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Practical Data Science with R

Written by: Nina Zumel, John Mount
Narrated by: Josef Gagnier
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About this listen

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.

©2014 Manning Publications (P)2018 Manning Publications
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What the critics say

"A unique and important addition to any data scientist’s library." (Jim Porzak, cofounder, Bay Area R Users Group)

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No chapter/section names.

Why bother even publishing this on Audible if you don't include chapter names. Who thought that was OK? News: it's not OK. It's not just "not OK", it's an insult to both the authors and the readers/listeners. Especially considering how detail oriented the authors clearly are.

Did you simply rip the audio files from Manning, slap some figures into a PDF and throw it up on Audible? Is this even legit? Is money even going to the authors? Are they even aware? It's just so incredibly sloppy that it's hard to believe that someone actually thought this was OK. There's not even a table of contents!?

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