Here are my two thoughts:
1. If you have to have a book, a physical book, then I'd start here: Statistical Thinking
The book focuses on how you think...before you start fumbling with collecting, analyzing, and reporting your data findings. Then it moves into methods and execution in JMP. But if push came to shove on my Mt. Rushmore of statistical thinking books, nobody tops Don Wheeler's "Understanding Variation the Key to Managing Chaos" book. Wheeler's book does not include any JMP content...but if I could design an optimal book based curriculum, I'd start with Wheeler, then move to Snee et. al.
2. Now, if you are a bit more flexible in terms of your delivery and educational experience options, I can't recommend strongly enough the SAS "Statistical Thinking for Industrial Problem Solving" online course. It's free. Basically assumes you know very little about statistical methods and nothing about JMP. All you need is a web browser and internet connection. You don't even need JMP...in the exercises you run JMP on a virtual machine that is interwoven into the user experience. Here's a link to the course landing page: Statistical Thinking for Industrial Problem Solving
