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Table of contents (9 chapters)
Keywords
About this book
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. The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics – yet also need to learn the topic quickly and without overly academic explanations.
Reviews
“It could be useful to a faculty member or student who wished to learn Excel through a number of business applications, … the writing is very clear and no special knowledge of business is required.” (Robert W. Hayden, MAA Reviews, April 22, 2019)
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Excel Data Analysis
Book Subtitle: Modeling and Simulation
Authors: Hector Guerrero
DOI: https://doi.org/10.1007/978-3-030-01279-3
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-01278-6Published: 18 January 2019
eBook ISBN: 978-3-030-01279-3Published: 14 December 2018
Edition Number: 2
Number of Pages: XIX, 346
Number of Illustrations: 215 b/w illustrations
Topics: Operations Research/Decision Theory, Probability Theory and Stochastic Processes, Statistics for Business, Management, Economics, Finance, Insurance, Organization, Business Mathematics, IT in Business