Modern Data Science with R

By:

Baumer, Benjamin S

Contributor(s):

Material type: Text

TextSeries: Chapman & Hall/CRC Texts in Statistical Science SeriesPublication details: CRC Press 2017 Boca RatonDescription: 551pISBN:

9781498724487

Subject(s):

Mathematical statistics - Data processing

DDC classification:

006.312 BAU

List(s) this item appears in: R Books

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Book	NIMA Knowledge Centre	7th Floor Silence Zone	Reference	006.312 BAU (Browse shelf(Opens below))	Not For Loan		M0034507

Total holds: 0

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.

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