TY  - BOOK
AU  - Provost, Foster.
AU  - Fawcett, Tom.
TI  - Data science for business: what you need to know about data mining and data-analytic thinking 
SN  - 9781449361327
AV  - HF5548.2 .S213 2022
U1  - 650.015195 P969d 2013 23
PY  - 2013///
CY  - Beijing
PB  - O'Reilly
KW  - Business
KW  - Data processing
KW  - R (Computer program language)
KW  - Commercial statistics
KW  - fast
N1  - Includes bibliographical references and index; B.B.A, M.B.A & E.M.B.A
N2  - Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business's customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available
ER  -