When I do so, I always start each step with a bold-faced description of what the step entails. So I want to tell you that it's pretty darn safe for you to blow off some chunks of the book.įor example, in many places throughout the book I provide step-by-step descriptions of the task. After all, maybe Dancing with the Stars is a rerun tonight. I recommend that you delve in to the chapters on inferential statistics, however, only if you’ve taken at least a couple of college-level statistics classes. If you’re the sort of person who, perhaps because of a compulsive bent, needs to read a book cover to cover, that’s fine. Hop around and read the chapters that interest you.
Rather, it’s organized into tiny, no-sweat descriptions of how to do the things that must be done. This book isn’t meant to be read cover to cover like a Dan Brown page-turner. This book assumes that you want to use Excel to learn new stuff, discover new secrets, and gain new insights into the information that you’re already working with in Excel - or the information stored electronically in some other format, such as in your accounting system or from your web server’s analytics. Using Excel for data analysis is what this book is all about. You sometimes wish, I wager, that you could use Excel to really gain insights into the information, the data, that you work with in your job.
And you can even, with just a little bit of fiddling, create cool-looking charts.īut I bet that you sometimes wish that you could do more with Excel. You know how to create simple workbooks and how to print stuff. So here’s a funny deal: You know how to use Excel. Excel Data Analysis For Dummies, 2nd Edition (2014) Introduction