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Excel data analysis modeling and simulation

By: Material type: TextTextPublication details: Springer 2019Edition: 2ndDescription: 358p. PDF, 17.85 MBISBN:
  • 9783030012786
Subject(s): DDC classification:
  • Elb 005.5423 G93e 2019
Online resources: Summary: 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.
Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
E-Books Higher Education Department Library Digital Collection Non-fiction Elb 005.5423 G93e 2019 (Browse shelf(Opens below)) 1 Available Elb 238

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.

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