Practical Data Science with R By: Nina Zumel, John Mount [Audiobook]

Author: Nina Zumel, John Mount
Narrated by: Josef Gagnier

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. 

General Information
===================
 Title:                  Practical Data Science with R
 Author:                 Nina Zumel, John Mount
 Read By:                Josef Gagnier
 Copyright:              2018
 Audiobook Copyright:    2018
 Genre:                  Audiobook
 Publisher:              Manning Publications
 Duration:               8 hours, 10 minutes, 21 seconds
 Chapters:               15
Media Information
=================
 Source Format:          Audible AAX
 Source Sample Rate:     22050 Hz
 Source Channels:        2
 Source Bitrate:         63 kbits
 Lossless Encode:        Yes
 Encoded Codec:          AAC / M4B
 Encoded Sample Rate:    22050 Hz
 Encoded Channels:       2
 Encoded Bitrate:        63 kbits
 Ripper:                 inAudible 1.97
Book Description
================
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.

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