These things are great if they add value for you, but I would be very skeptical of any non-mathematical approach to statistics. I think statistics is only made clear by mathematics, much the same as Physics. And one cannot grasp statistics without being able to understand the maths.
I think that still the best way to understand statistics is to start with the mathematical theory and to grind 1000+ textbook problems.
My grind was "Mathematical Statistics with Applications" by Wackerly et al. There are PDF versions if you Google for it. I can't say it was quick, easy or intuitive; but it works.
I also liked "In all Likelihood" by Pawitan for a "likelihoodist" foundational approach.
I was introduced to statistics with the mathematical approach, and it failed to help me understand why things were the way they were, due to the lack of context and application.
Later I re-learned it in an applied way, and things made much more sense to me.
(That's fine if you liked learning it your way, but that's no reason to be skeptical about other approaches.)
https://brilliant.org/courses/statistics/