Chapter 11
Where to Go Next
Statistician is the technical term for a cynical data scientist. – Jim Savage
I wrote this book to introduce the main concepts and practices of Bayesian statistics to those who are already familiar with Python and the Python data stack, but not very familiar with statistical analysis. Having read the previous ten chapters, you should have a reasonable practical understanding of many of the main topics of Bayesian statistics. Although you will not be an expert-Bayesian-ninja hacker (whatever that could be), you should be able to create your own probabilistic models to solve your own data analysis problems. If you are really into Bayesian statistics, this book will not be enough – no single book will be enough.
To become fluent in Bayesian statistics, you will need practice, time, patience, more practice, enthusiasm, problems, and even more practice. You will also benefit from revisiting ideas and concepts from a different perspective. To...
