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.
5 homework assignments (15%) 2 midterms (each 20%) 1 final (35%) - he gave it the week before final's week 5% recitation attendance 5% lecture attendance
lots of practice with linear regression, programming in R
I learned a new way to introduce statistical thinking into everyday life and my future career. The implementation of stats and the reasoning behind the math was important to the professor.
The basics of R and knowledge of Stat computing and modeling.
I learned the basics of computational journalism and how can it be applied to the stories we work in.
I learned a little R, but it was hard to learn under the immense pressure
Basic R skills, basic statistical modeling
Regressions, Clustering, Random Forests, Mining
This was a very bad class, and I would not recommend it. We ended up having to take our final the week before finals week; we essentially had to take a 3-hour final in 1.5 hours. It was atrocious. The final was very hard. We did not even know how much we received on the final, as he never published the final grades. I would not recommend it.