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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…mehr

Produktbeschreibung
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.
  • Produktdetails
  • Verlag: Springer, Berlin; Springer International Publishing;
  • Artikelnr. des Verlages: 978-3-030-01278-6
  • 2. Aufl.
  • Seitenzahl: 368
  • Erscheinungstermin: 18. Januar 2019
  • Englisch
  • Abmessung: 241mm x 160mm x 25mm
  • Gewicht: 698g
  • ISBN-13: 9783030012786
  • ISBN-10: 3030012786
  • Artikelnr.: 53643275
Autorenporträt
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.
Inhaltsangabe
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.
Rezensionen
"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)