Excel Data Analysis: Modeling and Simulation

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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.

Author(s): Hector Guerrero
Edition: 2
Publisher: Springer
Year: 2019

Language: English
Pages: 358
Tags: Simulation, Excel

Front Matter ....Pages i-xix
Introduction to Spreadsheet Modeling (Hector Guerrero)....Pages 1-19
Presentation of Quantitative Data: Data Visualization (Hector Guerrero)....Pages 21-58
Analysis of Quantitative Data (Hector Guerrero)....Pages 59-101
Presentation of Qualitative Data—Data Visualization (Hector Guerrero)....Pages 103-143
Analysis of Qualitative Data (Hector Guerrero)....Pages 145-178
Inferential Statistical Analysis of Data (Hector Guerrero)....Pages 179-224
Modeling and Simulation: Part 1 (Hector Guerrero)....Pages 225-264
Modeling and Simulation: Part 2 (Hector Guerrero)....Pages 265-310
Solver, Scenarios, and Goal Seek Tools (Hector Guerrero)....Pages 311-346