This text emphasizes models, methodology, and applications rather than rigorous mathematical development and theory. It uses real data in both exercise sets and examples.
This is a big book covering many topics like Probability, distributions, ANOVA and correlation. There are quite a few problems to solve that will help you strengthen your learning. But this book lacks explaining the concept. The author directly dives into the formula and it's usage. Detailing how to intuitively think about say, regression, will make this book really worthwhile.
I dislike the format of the book. Jaynes "Probability: The Language of Science." and Savage's "The Foundations of Statistics." seem like better options if you're wanting to learn Bayesian Probability and Statistics.