Data Science Mid-Course Feedback Survey
We're more than halfway home!  I would really appreciate you taking the time to comment on what's working well and not so well for you in the class.

Further, there are *lots* of topics we could cover during the next few weeks of the course.  What are you most excited about learning?
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Your Name
Feedback is way more useful to me if you attach your name to it.  It's not required, but please seriously consider it.
What have you enjoyed about data science thus far? *
I'd appreciate any positive feedback you have on any and all aspects of the course (particular mini projects, readings, in-class activities, etc.)
What can be improved about the course? *
These could be things that would only be actionable in a future data science iteration or they could be things that I can address during the remainder of the class.
What do you most want to learn over the course of the rest of the semester? *
Everyone always wants to learn content that is immediately applicable to their final project.  Given that the scope of project topics is vast, there will be virtually no content that is useful for all projects.  Given this backdrop, another way to think about this is "What are data science topics that could be covered that would most enrich your overall experience in this course?" (as opposed to simply making your final project better).
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