I can't tell if the content is too chill before I use it elsewhere. But it is a good course in general. The instructor's teaching style is comprehensive, although too verbose as well.
While I truly appreciate Dr. Severence's enthusiasm and his lectures on the historical and theoretical background of SQL (e.g., data models), I found this course lacking in a few aspects. The major one being the fact that it contains very little practice and active learning. I would recommend taking Sadie St. Lawrence's course (SQL for Data Science), which is also aimed at beginners but has a number advantages that I will list below. In the case that her lectures come across as confusing at some point (they're a bit faster, and perhaps skip a few of basic introductory points), take both courses - they only take about a day to complete. The main positive points in SQL for Data Science are: (1) Very structured course with downloadable comprehensive slides. (2) No need to download and install a SQL server. (3) The online coding practice is very engaging, but not too hard. (4) The course covers more material than this one in 4 weeks. BTW, If you are not a data scientist you may ignore some of the professional jargon that pops up occasionally (not too often) - it is not central to the course.