I’ll be taking the Coursera course, since I have no experience in R. It’s part of the Data Science Specialization. Reviews online suggest the course may be somewhat disorganized, but also said Code School’s introduction was easier. So I might check out Code School as well.
The Coursera course will repeat, as ShardPhoenix said, so I’ll report back when finished.
Okay, here’s a preliminary update. I dropped the R Programming course on Coursera because after a basic introduction to R, the first substantive assignment jumped a couple levels in difficulty. In other words, there was a gap between the instruction and the assignment. This was frustrating. So be aware that you will need a bit of extra time to invest in order to get past this gap, either before or during the course. (I contrast this with the Introduction to Programming with Python course I’m taking on EdX from MIT, which is simply a flawless course, with a smooth and sure conceptual slope.)
I’ll be taking the Coursera course, since I have no experience in R. It’s part of the Data Science Specialization. Reviews online suggest the course may be somewhat disorganized, but also said Code School’s introduction was easier. So I might check out Code School as well.
The Coursera course will repeat, as ShardPhoenix said, so I’ll report back when finished.
Okay, here’s a preliminary update. I dropped the R Programming course on Coursera because after a basic introduction to R, the first substantive assignment jumped a couple levels in difficulty. In other words, there was a gap between the instruction and the assignment. This was frustrating. So be aware that you will need a bit of extra time to invest in order to get past this gap, either before or during the course. (I contrast this with the Introduction to Programming with Python course I’m taking on EdX from MIT, which is simply a flawless course, with a smooth and sure conceptual slope.)