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Excel Data Analysis Modeling and Simulation 2nd Edition by Hector Guerrero | PDF Free Download.
Hector 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.
Why Does the World Need—Excel Data Analysis, Modeling, and Simulation?
When spreadsheets first became widely available in the early 1980s, it spawned a revolution in teaching.
What previously could only be done with arcane software and large-scale computing was now available to the common man, on a desktop.
Also, before spreadsheets, most substantial analytical work was done outside the classroom where the tools were; spreadsheets and personal computers moved the work into the classroom.
Not only did it change how the data analysis curriculum was taught, but it also empowered students to venture out on their own to explore new ways to use the tools.
I can’t tell you how many phone calls, office visits, and/or emails I have received in my teaching career from ecstatic students crowing about what they have just done with a spreadsheet model.
I have been teaching courses related to business and data analytics and modeling for over 40 years, and I have watched and participated in the spreadsheet revolution.
During that time, I have been a witness to the following important observations:
Each one of these observations has motivated me to write this book.
The first suggests that there is no foreseeable end to the demand for the skills that Excel enables; in fact, the need for continuing productivity in all economies guarantees that an individual with proficiency in spreadsheet analysis will be highly prized by an organization.
At a minimum, these skills permit you freedom from specialists that can delay or hold you captive while waiting for a solution.
This was common in the early days of information technology (IT); you requested that the IT group provide you with a solution or tool and you waited, and waited, and waited.
Today if you need a solution you can do it yourself. The combination of the second and third observations suggests that when you couple bright and energetic people with powerful tools and a good learning environment, wonderful things can happen.
I have seen this throughout my teaching career, as well as in my consulting practice. The trick is to provide a teaching vehicle that makes the analysis accessible.
My hope is that this book is such a teaching vehicle. I believe that there are three simple factors that facilitate learning—select examples that contain interesting questions, methodically lead students through the rationale of the analysis, and thoroughly explain the Excel tools to achieve the analysis.
The last observation has fueled my desire to lend a hand to the many students who passed through the educational system before the spreadsheet analysis revolution: to provide them with a book that points them in the right direction.
Several years ago, I encountered a former MBA student in a Cincinnati Airport bookstore. He explained to me that he was looking for a good Excel-based book on data analysis and modeling—“You know it’s been more than 20 years since I was in a Tuck School classroom, and I desperately need to understand what my interns seem to be able to do so easily.”
By providing a broad variety of exemplary problems, from graphical/ statistical analysis to modeling/simulation to optimization, and the Excel tools to accomplish these analyses, most readers should be able to achieve success in their self-study attempts to master spreadsheet analysis.
Besides a good compass, students also need to be made aware of the possible. It is not usual to hear from students “Can you use Excel to do this?” or “I didn’t know you could do that with Excel!”