Your gender-related analysis is a bit incomplete. You should state that you're only including records for which gender is specified.

- Overall, 20.4% of the records have an unknown or unspecified gender, for which the average grade is 84%.

- Every class has between 6-29% with unspecified genders. In four of the courses, there are more unknowns than the difference between male and females.

A more interesting analysis (to me) is completion and grade vs. engagement, which they're clearly trying to track by including data about student events. I'm not sure how to approach this. On first glance, it seems that for some courses, it's equally likely a student in the top 10% of engagement (going by # days student interacted with site), will have achieved either a spectacularly high or low grade.

Maybe it's time I take one of those Data Science courses, myself.