TY  - BOOK
AU  - Baumer, Benjamin S.
AU  - Kaplan, Daniel T.
AU  - Horton, Nicholas J.
TI  - Modern Data Science with R
SN  - 9781498724487
U1  - 006.312 
PY  - 2017///
CY  - Boca Raton
PB  - CRC Press
KW  - Mathematical statistics - Data processing
N1  - Part I. Introduction to Data Science
1. Prologue: Why data science?
2. Data visualization
3. A grammar for graphics
4. Data wrangling
5. Tidy data and iteration
6. Professional Ethics

Part II. Statistics and Modeling
7. Statistical foundations
8. Statistical learning and predictive analytics
9. Unsupervised learning
10. Simulation

Part III. Topics in Data Science
11. Interactive data graphics
12. Database querying using SQL
13. Database administration
14. Working with spatial data
15. Text as data
16. Network science
17. Epilogue: Towards \big data"

Part IV. Appendices
A. Packages used in this book
B. Introduction to R and RStudio
C. Algorithmic thinking
D. Reproducible analysis and workflow
E. Regression modeling
F. Setting up a database server
ER  -