Bayesian Statistics are a used in a minority of applications, but are quickly growing. They are based on subjective ideas about probability, i.e. measuring uncertainty. In this talk we will discuss subjective probability and how it can be measured, including some practical exercises. We will introduce the resulting Bayesian (so called because learning is done via Bayes theorem) philosophy of statistical inference, emphasising ideas and keeping the technical Mathematics to a minimum.