Table of contents : • 1. Getting Started with R • 2. What is Reproducible Reporting? • 3. The Data Science Pipeline • 4. Literate Statistical Programming • 5. Organizing a Data Analysis • 6. Structure of a Data Analysis: Part 1 • 7. Structure of a Data Analysis: Part 2 • 8. Markdown • 9. Using knitr for Reproducible Reports • 10. Communicating Results Over E-mail • 11. Reproducibility Check List • 12. Evidence-based Data Analysis • 13. Public Reproducibility Resources • About the Author