I'd suggest to try Cellenics (see here https://www.biomage.net/), a user-friendly tool to analyse single-cell data. It's free for academic users, and it has a dataset repository with several publicly available single-cell datasets ready to be explored. I think it may be a good starting point.

If you want to explore other datasets that are not in the repository, it is quite straightforward to upload them to Cellenics, as long as you have the count matrices. They even provide tutorials on converting data from different platforms, making it analyzable within Cellenics.

There is also a course on how to use Cellenics for single-cell RNA-seq analysis, if you are interested in learning more: https://courses.biomage.net/courses/mastering-scrna-seq-with-cellenics.

Hope that helps.