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I want to learn the heavy-weight of Statistical softwares – SAS. It seems like the default choice for high-end statistics and I want to understand why.
I’m working in the healthcare practice in our firm and want to analyze claims and credit data (Terabytes, 50M+ records). Traditional ways (SQL) are limiting and desktop statistical softwares like R and Stata aren’t suitable for such large data analysis. Other contenders (Matlab) don’t seem to be in the same league.
So, its time to take a deep dive into SAS.
I’m looking for some advice to create a learning plan…
Good books
- I like learning by examples and found this on Amazon – Learning SAS by Example: A Programmer’s Guide by Ronald P. Cody)
- I know some R, so this might be interesting – SAS and R: Data Management, Statistical Analysis, and Graphics by Ken Kleinman and Nicholas J. Horton
- Others?
Good tutorials
- I like video tutorials with examples e.g Statistics202.
- I also like tutorials from a programmer’s perspective better
- Anything for SAS out there?
Good blogs
- Anything like R-Bloggers out there for SAS?
Experts
- Will start exploring this. If you know of someone, please let me know.
Good training courses in New York area
- Preferably not the ones run by the company themselves. I’m looking for SAS experts who can run hands-on classes
SAS interest groups in New York area
- I learn well in a study group. Any meetups?
This post was kindly contributed by Enterprise Software Doesn't Have to Suck - go there to comment and to read the full post. |