Data science for business and decision making /
Data 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 e...
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| Main Authors: | , |
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| Format: | Book Chapter |
| Language: | English |
| Published: |
London, United Kingdom :
Academic Press, an imprint of Elsevier,
2019. ©
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| Subjects: | |
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| Summary: | Data 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®. |
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| Physical Description: | xvi, 1227 pages : illustrations ; 28 cm |
| Bibliography: | Includes bibliographical references (pages 1195-1214) and index. |
| ISBN: | 9780128112168 |