Non-parametric methods are limits of finite processes. Or, more precisely, they are rules that work for any finite data set you have. Think about using histograms to approximate a density empirically, for any dataset we have a finite number of bins, but the number of parameters depends on the size of the data. That's basically what "non-parametric" means.

Please keep your religious language out of my statistics, thank you.