data scientist goes to graduate school

I’ve signed up for a graduate Statistics program at Texas A&M and am now attending the first course. It is an online program; I’ll stay in Austin to work full time while attending.

This will change my blogging in two major ways:  First, I’ll have less time for writing, so posts may appear less frequently. Second, I’ll probably write far more about statistical topics than before as I learn them, since writing about a topic is a great way to ensure one knows the topic well. My last two posts have followed this plan, being about the Central Limit Theorem and confidence intervals.

The course I’m in now covers basic R and SAS skills, which is why it is a prerequisite for the other courses in the program. As I’ve demonstrated on this blog, I have R skills so the material is easy so far (we haven’t started the SAS section yet). I know less about SAS since I haven’t used it professionally in over five years.

I haven’t decided what to specialize in yet, between Biostatistics and Data Mining. Bioinformatics is what I do now professionally, and certainly learning some formal biostatistics will help my current job. However, bioinformatics has a data mining component to it, so I’d be able to apply data mining skills to my current job as well. Maybe I’ll do both specialties just for good measure.

2 thoughts on “data scientist goes to graduate school

  1. I hope that these classes aren’t too basic for you. It seems that, even for graduate classes, the teacher assumes the class knows next to nothing!

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