DSO 530 - Applied Modern Statistical Learning Methods

The content is very advanced, and takes a very academic approach to statistics. However, the benefit is that it get's you deep into topics such as neural networks. If you take this in conjunction with other DSO classes, it has some slight overlap on topics such as logistic regression...etc.

He's really dedicated to your learning but isn't a great communicator. I'm glad I took Advanced Regression before this as much of it overlaps. I'd be lost without having taken that before.

Good course. Took more out of nerdiness. But useful to understand the basics so I can hire a data scientist one day and know what they are talking about.

This should not be a class offered to MBA students! Pace, focus, and content are only relevant to Master of Science in Computer Science students. Requires a higher level of prerequisite skills than Core stats classes at Marshall provide.

All modeling and coding in R. He makes it really easy to understand.

very good class to learn R as a beginner, better to have some knowledge of the concepts in data mining

Easy to follow and understand.

Very good class. Tough subject if you are not familiar with R or coding in general but professor is engaging and makes it easy to digest for the most part.

R is a great tool to know if you're looking at any analytics related work. And this professor makes learning it easy!