Excel Data Analysis for Dummies by
Stephen L. Nelson CPA MBA MS
Excelling At Analysis
So here’s a funny deal: You know how to use Excel. You know how to
create simple workbooks. And how to print stuff. And you can even, with
just a little bit of fiddling, create cool-looking charts. But sometimes you
wish that you could do more with Excel, such as how to use Excel to really
gain insights into information, the data, that you work with in your job.
Using Excel for this kind of stuff is what Excel Data Analysis For Dummies
is all about. This is a book that assumes that you want to use Excel to
learn new stuff, discover new secrets, and gain new insights into the
information you’re already working with in Excel. Ready to take Excel
to the next level? This plain-English guide covers all of these concepts,
and more, to ensure that you’re using Excel to its fullest capacity:
Harnessing information in lists Querying external databases and Web
pages tables Cleaning data with text functions Building and working
with PivotTables Customizing PivotCharts Using the statistics
functions Understanding Optimization Modeling If all this talk of
statistics and advanced tools makes you light-headed, don’t worry. Excel

Data Analysis For Dummies distills the most important fundamentals into
everyday language. You’ll find just enough information to help you get your
work done – without leaving you gasping for air in a sea of technobabble.
It’d be a real shame if you didn’t at least know what bells and whistles
Excel has to offer and the basic steps that you need to use them.
Personal Review: Excel Data Analysis for Dummies by Stephen
L. Nelson CPA MBA MS
The world of mathematical analysis is changing, and for the people
involved, doing so at ever younger ages. As a Physics teacher, much of
the mathematical modeling or problem solving strategies that come first to
a student is something that I might say as a "brute force" method. While
not an elegant method sometimes, the computer in general, or graphing
calculators in particular are able to handle the demands of a student's
"brute force" method of problem attack.
While the elegance of some mathematics takes considerable practice, and
perhaps intuition, it has been this feature that has kept many people from
the "hard sciences", and engineering. Or, so I would suggest having
taught both in secondary and post-secondary. Technology has changed all
of this, but it would seem that the full impact of this will take some time to
be felt by everyone.
This book sees to much of the analysis possible with the Excel
spreadsheet. There are enormous sections that are easily understood by
High School students, and with a little coaching can be used to work with
experimental data. The laboratory work that many students are able to
produce is of exceptional quality, and gratifying to experience.
On the flip side of this same coin is the ability of teachers to quickly check
results, and look at the quality of data used.
Material is easily understood, and with functions explained in layperson
terminology, the book accomplishes not simply the how, but the why as
well. I would recommend that this book is purchased by anyone who can
help students learn how to use a spreadsheet.
Currently, I am considering the other Excel spreadsheet books on closely
allied areas, and hope that they are as well written, and organized as this
book.
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