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Index
Copyright
Brief Table of Contents
Table of Contents
Preface
Acknowledgments
About this Book
About the Cover Illustration
Part 1. Preparing and gathering data and knowledge
Chapter 1. Philosophies of data science
Chapter 2. Setting goals by asking good questions
Chapter 3. Data all around us: the virtual wilderness
Chapter 4. Data wrangling: from capture to domestication
Chapter 5. Data assessment: poking and prodding
Part 2. Building a product with software and statistics
Chapter 6. Developing a plan
Chapter 7. Statistics and modeling: concepts and foundations
Chapter 8. Software: statistics in action
Chapter 9. Supplementary software: bigger, faster, more efficient
Chapter 10. Plan execution: putting it all together
Part 3. Finishing off the product and wrapping up
Chapter 11. Delivering a product
Chapter 12. After product delivery: problems and revisions
Chapter 13. Wrapping up: putting the project away
Appendix. Exercises: Examples and Answers
The lifecycle of a data science project
Index
List of Figures
List of Tables
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