We are very proud to present our book Practical Data Science with R. This is the book for you if you are a data scientist, want to be a data scientist, or want to work with data scientists. This is a good “what next” book for analysts and programmers wanting to know more about machine learning and data manipulation.
Our goal is to present data science from a pragmatic, practice-oriented viewpoint. The book will complement other analytics, statistics, machine learning, data science and R books with the following features:
- This book teaches you how to work as a data scientist. Learn how important listening, collaboration, honest presentation and iteration are to what we do.
- The key emphasis of the book is process: collecting requirements, loading data, examining data, building models, validating models, documenting and deploying models to production.
- We provide over 10 significant example datasets, and demonstrate the concepts that we discuss with fully worked exercises using standard R methods. We feel that this approach allows us to illustrate what we really want to teach and to demonstrate all the preparatory steps necessary to any real-world project. Every result and almost every graph in the book is given as a fully worked example.
- This book is scrupulously correct on statistics, but presents topics in the context and order a practitioner worries about them. For example we emphasize construction of predictive models and model evaluation and prediction over the more standard topics of summary statistics and packaged procedures (such as ANOVA).
In support of Practical Data Science with R we are providing:
- Two free preview chapters. In addition, the Table of Contents, Index, Foreword and Preface are available at the Manning book page.
- A public repository of data sets and code (under a Creative Commons Attribution-NonCommercial 3.0 Unported License where possible).
- An official book forum and errata.
The book is available in print as 416 pages softbound black and white or as a color eBook. The print version comes with a complimentary eBook version (an insert when the book is purchased new), in all three formats: PDF, ePub, and Kindle. The eBook can be purchased separately from Manning Publications.
Order now on the Manning book page or at Amazon.com.
For more about the book please check out:
Also, please consider bringing Win-Vector LLC in for help with your data science projects our training. We would love to work with you.