(Disclosure: I do corporate training (Python and Data Science) for a living.) I generally don't teach coding to newbies, so a lot of the coding I teach is correcting poor mental models and teaching features (somewhat) unique (or different) in Python. My best Pandas courses have been when the client opts to use their data for the course (instead of my canned data). The students are already subject matter experts with…
I always thought the best way to learn programming is to find a program you want to create, and then figure out how to make that happen. This is still how i learn (most effectively) today. If i want to learn a new language or something, i write something that i always wanted to write in it anyways. That way it doesn't get boring. I think what you're describing might be similar in that canned-data is not interesting.
The problem was that about 95% of my students didn't have a program they wanted to create. Some just wanted a hobby. Some wanted a better job. Some wanted to do a startup and manage a team, but they didn't really know what kind of startup to do. One guy joined because he made discord bots and thought node.js was cool, but learning loops started to get boring for him.