Recently, I have been involved with more teaching and one part of my teaching efforts has been to provide an introduction to Bayesian inference. Personally, I have the intuition that this can be best achieved by working through a very simple example: namely the classic coin flip example. Also, it is often helpful to accompandy the elaborations of Bayesian statistics with methods of how frequentists would tackled given problems. After all, these are the things most people are familiar with.
To that end, I have prepared slides and a jupyter notebook which can be found here:
In case of any comments, please let me know. I am also happy for help with extending current work, e.g., by collaborating on github.