A simple, consistent, visual and easy way to learn Bayesian statistics! Nanami Konno will use Bayesian statistics in her work - for this purpose she enrolls in a university course. Together with her fellow student Yamabuki, she learns how Bayesian statistics differ from traditional statistics, how it understands the probability of what a likelihood function is, and how Bayes' theorem is formulated. The final chapters examine Monte Carlo methods for Markov chains. The reader is offered many practical problems with a detailed explanation of solutions. The manga will be useful to students, programmers and anyone interested in mathematical analysis and calculating the probability of events.