Anyone who is familiar with R and wants to learn how to use it to build and use statistical models.

Important
The course covers a variety of techniques and at different levels, to meet the needs of different groups of users.  Those with minimal-to-moderate statistics preparation will want to spend time on the more extensive presentation of linear regression, and not attempt to complete all the more advanced segments on other methods.  Those with more experience in statistics may not require as much time in the early stages, but will be better able to work with the more advanced segments. The goal is to provide guidance in using R to implement various modeling procedures, and not to provide conceptual development of the statistical methods. Most of the modeling techniques described here are covered in separate courses at Statistics.com.

If you take this course first, you will probably not gain a full understanding of the more advanced techniques, but you will be better positioned, software-wise, to implement them when and if you take those courses. If you take the other courses first, you will have a better understanding of the concepts behind the techniques before tackling them in R, but will be less prepared software-wise when you take the conceptual courses. Either approach will work, but each has its own costs and benefits.