Title: Do not use Excel for scientific data analysis
Review: This book is informative and shows some clever tricks. I have only one substantive criticism, but it's a doozie: this book encourages the use of Excel for serious data analysis. But doing this kind of analysis in Excel/VBA is slow, computationally inaccurate, and very prone to both human and computer error. To his credit, the author does describe some of these issues.However, free tools like R and Octave and proprietary tools like Matlab and SAS will provide more accurate results and tremendously better reproducibility with less complex code. Excel is almost never the right tool for the job when it comes to scientific data analysis.
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