| 000 | a | ||
|---|---|---|---|
| 999 |
_c30048 _d30048 |
||
| 008 | 200612b xxu||||| |||| 00| 0 eng d | ||
| 020 | _a9780128112168 | ||
| 082 |
_a650.0151 _bFAV |
||
| 100 | _aFávero, Luiz Paulo | ||
| 245 | _aData science for business and decision making | ||
| 260 |
_bAcademic Press _c2019 _aUnited States |
||
| 300 |
_axvi, 1227 p. _bill. _c28 cm. |
||
| 365 |
_b200 _cUSD _d77.50 |
||
| 504 | _aIncludes bibliographical references and index | ||
| 520 | _aData Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs. | ||
| 650 | _aCommercial statistics | ||
| 650 | _aData analysis | ||
| 650 | _aDescriptive statistics | ||
| 650 | _aProbabilistic statistics | ||
| 650 | _aRegression models | ||
| 650 | _aExploratory data analysis | ||
| 650 | _aNetwork Analysis | ||
| 700 | _aBelfiore, Patrícia | ||
| 942 |
_2ddc _cBK |
||