My personal favorite is Richard McElreath's "Statistical Rethinking", which covers regression and multilevel modeling from a Bayesian approach but doesn't assume too much formal math background.
is there any introduction before this books, I've read first chapter (looking from first chapter, I already have a feeling this is a good book) and author saying there is a substantial idea that is missing from a lot of introduction statistics books (isn't necessarily wrong).
