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      Excel Data Analysis: Modeling and Simulation

      1 in stock

      Firm sale: non returnable item
      SKU 9783030012786 Categories ,
      Select Guide Rating
      This book offers a comprehensive and readable introduction to modern business and data analytics.

      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 pro...

      £89.99

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      Description

      Product ID:9783030012786
      Product Form:Hardback
      Country of Manufacture:CH
      Title:Excel Data Analysis
      Subtitle:Modeling and Simulation
      Authors:Author: Hector Guerrero
      Page Count:346
      Subjects:Management decision making, Management decision making, Business mathematics and systems, Operational research, Spreadsheet software, Business mathematics & systems, Operational research, Excel
      Description:Select Guide Rating
      This book offers a comprehensive and readable introduction to modern business and data analytics.

      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. 


      Imprint Name:Springer Nature Switzerland AG
      Publisher Name:Springer Nature Switzerland AG
      Country of Publication:GB
      Publishing Date:2019-01-18

      Additional information

      Weight702 g
      Dimensions238 × 165 × 26 mm