Practical Data Science with R, Second Edition
eBook - ePub

Practical Data Science with R, Second Edition

  1. 568 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Practical Data Science with R, Second Edition

About this book

Summary Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. About the technologyEvidence-based decisions are crucial to success. Applying the right data analysis techniques to your carefully curated business data helps you make accurate predictions, identify trends, and spot trouble in advance. The R data analysis platform provides the tools you need to tackle day-to-day data analysis and machine learning tasks efficiently and effectively. About the book 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. What's inside Statistical analysis for business pros
Effective data presentation
The most useful R tools
Interpreting complicated predictive modelsAbout the readerYou'll need to be comfortable with basic statistics and have an introductory knowledge of R or another high-level programming language. About the author Nina Zumel and John Mount founded a San Francisco–based data science consulting firm. Both hold PhDs from Carnegie Mellon University and blog on statistics, probability, and computer science.

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Yes, you can access Practical Data Science with R, Second Edition by John Mount,Nina Zumel in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Processing. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Manning
Year
2019
Print ISBN
9781617295874
eBook ISBN
9781638352747
Topic
Computer Science
Subtopic
Data Processing
Index
Computer Science

Table of contents

  1. Inside front cover
  2. Practical Data Science with R, Second Edition
  3. Copyright
  4. Dedication
  5. Brief Table of Contents
  6. Table of Contents
  7. Praise for the First Edition
  8. front matter
  9. Part 1. Introduction to data science
  10. 1 The data science process
  11. 2 Starting with R and data
  12. 3 Exploring data
  13. 4 Managing data
  14. 5 Data engineering and data shaping
  15. Part 2. Modeling methods
  16. 6 Choosing and evaluating models
  17. 7 Linear and logistic regression
  18. 8 Advanced data preparation
  19. 9 Unsupervised methods
  20. 10 Exploring advanced methods
  21. Part 3. Working in the real world
  22. 11 Documentation and deployment
  23. 12 Producing effective presentations
  24. Appendix A. Starting with R and other tools
  25. Appendix B. Important statistical concepts
  26. Appendix C. Bibliography
  27. Index
  28. List of Figures
  29. List of Tables
  30. List of Listings