I am teaching a class, Introduction to R, at UMKC. It is currently being offered as an online class for one credit hour in the Fall semester of 2016. We are offering it again in Spring Semester, 2017, and I’d like you to sign up for it.
First things first. You cannot just sit in on this class. You must take enroll through the UMKC system. Much of the material that I use for this class is freely available on my website and blog and I have provided short talks on some of this material for the Kansas City R Users Group. But if you want the entire package, you can only get it through the UMKC system.
The course number is MEDB 5505. If you are a UMKC student, you can register using Pathway # 17871. Please try to enroll by December 4, but that is not a hard deadline.
What if you are not currently registered as a UMKC student? You can still take this class, but first you need to sign up as a visiting/community student. It takes about a month or so to process the paperwork for a visiting/community student, so don’t delay. There are some details about this process on the UMKC website. Ignore the section on how the School of Medicine does not allow for visiting/community students. The Department of Biomedical and Health Informatics is a general exception to this restriction, but you need to contact the right people. I can give you their names, but I won’t put their contact information on this page to save them from all the spammers. I have a spam-proof page with my email address if you need to get in touch with me and I will put you in touch with them.
If you are curious about the general outline of this class, you can peek at my handouts and videos. I have a syllabus that I can share with you as well. Send me an email if you want a copy.
We are also offering two similar online classes: Introduction to SAS and Introduction to SPSS. These are excellent classes taught by some of our best faculty members, and I can put you in touch with the right people if you want to take either of these classes instead of or in addition to my R class.
I’ll try to post information about future developments for all of these classes on this page, so bookmark it and check back when you can.