Learning SAS

[This article was first published on Enterprise Software Doesn't Have to Suck, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.


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


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


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?

To leave a comment for the author, please follow the link and comment on their blog: Enterprise Software Doesn't Have to Suck.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)