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Excel data analysis = modeling and s...
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Guerrero, Hector.
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Excel data analysis = modeling and simulation /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Excel data analysis/ by Hector Guerrero.
Reminder of title:
modeling and simulation /
Author:
Guerrero, Hector.
Published:
Cham :Springer International Publishing : : 2019.,
Description:
xix, 346 p. :ill., digital ;24 cm.
[NT 15003449]:
Introduction to Spreadsheet Modeling -- Presentation of Quantitative Data - Data Visualization -- Analysis of Quantitative Data - Data Visualization -- Presentation of Qualitative Data -- Analysis of Qualitative Data -- Inferential Statistical Analysis of Data -- Modeling and Simulation: Part I -- Modeling and Simulation: Part II -- Solver, Scenarios, and Goal Seek Tools.
Contained By:
Springer eBooks
Subject:
Electronic spreadsheets - Data processing. -
Online resource:
https://doi.org/10.1007/978-3-030-01279-3
ISBN:
9783030012793
Excel data analysis = modeling and simulation /
Guerrero, Hector.
Excel data analysis
modeling and simulation /[electronic resource] :by Hector Guerrero. - 2nd ed. - Cham :Springer International Publishing :2019. - xix, 346 p. :ill., digital ;24 cm.
Introduction to Spreadsheet Modeling -- Presentation of Quantitative Data - Data Visualization -- Analysis of Quantitative Data - Data Visualization -- Presentation of Qualitative Data -- Analysis of Qualitative Data -- Inferential Statistical Analysis of Data -- Modeling and Simulation: Part I -- Modeling and Simulation: Part II -- Solver, Scenarios, and Goal Seek Tools.
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.
ISBN: 9783030012793
Standard No.: 10.1007/978-3-030-01279-3doiSubjects--Uniform Titles:
Microsoft Excel (Computer file)
Subjects--Topical Terms:
3382196
Electronic spreadsheets
--Data processing.
LC Class. No.: HF5548.4.M523 / G84 2019
Dewey Class. No.: 005.54
Excel data analysis = modeling and simulation /
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Introduction to Spreadsheet Modeling -- Presentation of Quantitative Data - Data Visualization -- Analysis of Quantitative Data - Data Visualization -- Presentation of Qualitative Data -- Analysis of Qualitative Data -- Inferential Statistical Analysis of Data -- Modeling and Simulation: Part I -- Modeling and Simulation: Part II -- Solver, Scenarios, and Goal Seek Tools.
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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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Business and Management (Springer-41169)
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EB HF5548.4.M523 G84 2019
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