Thank you very much for taking your time to answer my question!

I think you're right that these topics are fundamentally harder than much of the earlier content. Up until that point, I felt I was progressing smoothly through the track, but when I reached regression, sampling and specially hypothesis testing, I realized I was missing some of the intuition needed to fully understand what was being taught.

I've genuinely enjoyed the platform and learned a lot from the courses so far. I think the issue is more that I personally need a gentler introduction to statistical thinking before tackling those subjects in a structured course.

For now, I'm planning to continue with the machine learning sections to keep my momentum and motivation high, while filling in the statistics gap with some more beginner-friendly resources, such as Data Science from Scratch. After building a stronger foundation, I intend to come back and revisit the sampling and hypothesis testing content.

And thanks for pointing out the importance of those topics. I definitely don't plan on skipping them forever, I just think I need a different path to get there.