Statistics · Columbia University
A lot! I do not come from a statistics background so I learnt a lot from computing to random forests to clustering.
Regressions, Clustering, Random Forests, Mining
I learned a lot on R programing and machine learning algorithm
Homeworks and projects focused on data mining and machine learning methods.
basic machine learning and data mining, more R, how to write statistical reports, some graphical work
Variety of applied data skills and theory. Everything from basic r skills through ridge, lasso, clustering and trees. API's and github and anything applicable to a real job.
data mining, machine learning models and advanced statistics
I think the homeworks (especially 1 and 2) were way too challenging. I know of other students who had emotional breakdowns doing them (and they're stat majors). I think Wayne overestimated our ability though he did respond to our feedback and made homework 3 easier. Generally, I would've appreciated clearer instructions for the homework and projects too. Most importantly, I found the simulations unhelpful and I didn't like the breakout room format--most people would just keep quiet and wait for Wayne to give answers so it defeats the purpose.
If you are good at coding in R and good at learning from stackexchange, this might be the class for you