Excel data analysis: modeling and simulation
This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved.
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| Main Authors: | , , |
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| Format: | Texto biblioteca |
| Language: | eng |
| Published: |
Cham (Switzerland) Springer Nature
2019
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| Subjects: | data analysis, quantitative analysis, qualitative analysis, statistical methods, Monte Carlo method, optimization methods, modelling, |
| Online Access: | https://link-springer-com.fao.idm.oclc.org/book/10.1007/978-3-030-01279-3#about |
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