This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science. For more technical readers, the book provides explanations and code for a range of interesting applications using the open source R language for statistical computing and graphics.
It also addresses the various skills required, the key steps in the Data Science process, software technology related to the effective practice of Data Science, and the best rising academic programs for training in the field.
Pages : | /Paperback 288 pages |
Size : | PDF, ePub, Kindle, etc. |
File type : | |
Downloads: | 39 |
Created: | 2020-08-29 |
License: | CC BY-NC-SA 3.0 |
Author(s): | Jeffrey Stanton |
Regression Models for Data Science in R
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