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Excel Data Analysis: Modeling and Simulation de Hector Guerrero

Excel Data Analysis: Modeling and Simulation

Autor Hector Guerrero
en Limba Engleză Hardback – 18 ian 2019
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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Specificații

ISBN-13: 9783030012786
ISBN-10: 3030012786
Pagini: 440
Ilustrații: XIX, 346 p. 215 illus.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.69 kg
Ediția:2nd ed. 2019
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

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.

Recenzii

“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)

Notă biografică

Dr. Guerrero is a Professor Emeritus at Mason School of Business at the College of William and Mary, in Williamsburg, Virginia. He teaches in the areas of business analytics, decision making, statistics, operations and business quantitative methods. He has previously taught at the Amos Tuck School of Business at Dartmouth College, and the College of Business of the University of Notre Dame. He is well known among his students for his quest to bring clarity to complex decision problems. He earned a Ph.D. in Operations and Systems Analysis at the University of Washington and a BS in Electrical Engineering and an MBA at the University of Texas. He has published scholarly work in the areas of operations management, product design, and catastrophic planning. Prior to entering academe, he worked as an engineer for Dow Chemical Company and Lockheed Missiles and Space Co. He is also very active in consulting and executive education with a wide variety of clients–– U.S. Government, International firms, as well as many small and large U.S. manufacturing and service firms. It is not unusual to find him relaxing on a quiet beach with a challenging Excel workbook and an excellent cabernet.

Textul de pe ultima copertă

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. 

Descriere

Descriere de la o altă ediție sau format:
This book is written for students and practitioners who are looking for a single introductory Excel-based resource that covers three essential business and analytical skills: data analysis, business modeling, and simulation of complex problems.

Caracteristici

This book is targeted at business students or practitioners looking for a single introductory Excel-based resource covering three essential business skills—Data Analysis, Business Modeling, and Simulation -The Instructors Manual offers opportunities for classroom instruction, student participation and assignments or research -Problems and Exercises at the end of each chapter Includes supplementary material: sn.pub/extras