Very easy class as long as you follow the grading rubrics to a T. Caitlin Steiner is very good at introducing course material during lectures and makes herself available outside of class time to clarify or help students understand the course material or assignment expectations. One of the better statistics classes - the information learned is very useful for jobs and internships.

Terrible class. See below review for discussion on artificially deflating class. HW assignments are very hard, painful lectures. Would strongly advise against anything with Steiner

Don't take this course. We haven't learned anything. The professor makes the initial grades easy so you stay in the class and then grades two projects hard (specifically the final project) to deflate grades for the course. Also, the two textbooks aren't used. Use 'the R book' instead.

Went in to this class having no programming or STAT (besides AP Statistics 3 years ago) experience.. luckily you don't really need either, because she reteaches all the basic stat concepts and then demonstrates how you can do whatever function on the computer (using R) in pretty simple terms. I thought the class was informative, grading was pretty fair (except she didn't really make clear what she expected on the midterm project), but it definitely isn't as easy as the grade distribution suggests. Everyone in the class is pretty bright and pay their dues as far as work goes, so if you want to succeed expect to do the same. Sitting through lecture was painful because Steiner is a dry lecturer but I'd still suggest doing so.

Easy to take and very interesting applicable techniques. Steiner is pretty no nonsense in discussing the material and was good at not wasting anyone's time with needless details. Well run class