I only got through one class, but have heard my concerns echoed by many who are only continuing the program because the have invested so much into it.

The program is based on weekly discussion board posts and a few exams per course. For the most part, I find myself attempting to put fluff into my posts rather than meaningful analysis.

There are "sync sessions" throughout the courses, but they don't occur every week. This is much unlike a MOOC, which provides a set of weekly lectures to view and gain understanding.

There was zero project work in my initial class and projects at or below the level of undergrad projects in more advanced courses.

I managed an A average while spending the absolute minimum amount of time on the class.

When paying 4,000 dollars per course, I had hoped that the instruction would be at the same level or better than that of a set of MOOCs. In the field of data science, I believe the time can easily be directed towards side projects for greater knowledge and similar employment prospects.