I am a beginning stats student. I took the AP class in high school, and have been doing independent work since. Predicting voters, playing with data sets, using

I am a beginning stats student. I took the AP class in high school, and have been doing independent work since. Predicting voters, playing with data sets, using a bit of Python to try to make general solutions, and other non serious but non trivial actions. Bayesian solutions have always required more work from me, even when they seemed the optimal way to solve a problem. I still don't entirely understand how to work with continuous distributions of hypotheses, partially because I lack the deep mathematical intuition at the moment. I don't blame the math, but I do think that much of the time the Bayesian treatment can be more challenging. I suspect that this is why non-Bayesian techniques remain so popular.