Great to hear this was helpful! I’m working my way into Bayesian Statistical as well and trying to learn alternatives to the mainly frequentist techniques taught in college.

There are many great resources available online to help you out. I find I learn best by practicing techniques, and I got a lot from this book on probabilistic programming in Python. Here’s a series specifically on implementing Bayesian Linear Models in PyMC3, probably the easiest to use library for Bayesian Inference (at the moment).