## Book description

*Practical Data Science with R, Second Edition* is a task-based tutorial that leads readers through dozens of useful, data analysis practices using the R language. By concentrating on the most important tasks you’ll face on the job, this friendly guide is comfortable both for business analysts and data scientists. Because data is only useful if it can be understood, you’ll also find fantastic tips for organizing and presenting data in tables, as well as snappy visualizations.

## Table of contents

- Practical Data Science with R, Second Edition
- Copyright
- Brief Table of Contents
- Table of Contents
- Praise for the First Edition
- front matter
- Part 1. Introduction to data science
- Chapter 1. The data science process
- Chapter 2. Starting with R and data
- Chapter 3. Exploring data
- Chapter 4. Managing data
- Chapter 5. Data engineering and data shaping
- Part 2. Modeling methods
- Chapter 6. Choosing and evaluating models
- Chapter 7. Linear and logistic regression
- Chapter 8. Advanced data preparation
- Chapter 9. Unsupervised methods
- Chapter 10. Exploring advanced methods
- Part 3. Working in the real world
- Chapter 11. Documentation and deployment
- Chapter 12. Producing effective presentations
- Appendix A. Starting with R and other tools
- Appendix B. Important statistical concepts
- Appendix C. Bibliography
- Practical Data Science with R
- Index
- List of Figures
- List of Tables
- List of Listings

## Product information

- Title: Practical Data Science with R, Second Edition
- Author(s):
- Release date: December 2019
- Publisher(s): Manning Publications
- ISBN: 9781617295874

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