Excel Data Analysis: Modeling and Simulation

This book provides a comprehensive and accessible introduction to modern business and data analytics, using Excel as a tool. It focuses on understanding techniques and their proper application, with additional topics such as Monte Carlo simulation and optimization. The second edition has been revised and improved, making it suitable for students, professionals, and anyone needing a quick yet rigorous introduction to the field.

\n Format: Hardback
\n Length: 346 pages
\n Publication date: 18 January 2019
\n Publisher: Springer Nature Switzerland AG
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This comprehensive and accessible book provides a thorough introduction to modern business and data analytics. It is built on the widespread accessibility of Excel, a tool that is familiar to students and professionals alike. The explanations prioritize a deep understanding of techniques and their appropriate application, supported by an abundance of in-chapter and end-of-chapter exercises. In addition to covering general statistical methods, the book also delves into Monte Carlo simulation and optimization. The second edition has undergone a thorough revision, featuring new topics, exercises, and examples. Furthermore, the readability of the text has been further enhanced. Primarily designed for students in business, economics, and government, as well as professionals seeking a rigorous yet quick introduction to business and data analytics, this book offers a valuable resource for anyone looking to expand their knowledge in these fields.

\n Weight: 702g\n
Dimension: 238 x 165 x 26 (mm)\n
ISBN-13: 9783030012786\n
Edition number: 2nd ed. 2019\n