Yeah. I hope someone wrote a book like that.
Basically,
- Libname
- Proc Datasets
- Proc Import
- Proc Contents
- Proc Freq
- Proc Means
- Proc Univariate
- Proc Reg
- Proc Logistic
- Proc Export (to excel where you do the graphs)
- ODS
- Proc Tabulate
(note – it would be interesting to do a proc freq on all procs say used say on SAS On Demand)
Any thing else is not needed for a entry level job for a fresh grad student or job for a veteran re-trained worker.
Just like society needs science and commerce as twin pillars, analytics needs SAS (great Marketing) and R (great research) for expanding the pie of analytics which is woefully underutilized and stupidly overcapitalized by jazzy-copy-paste-data-from-query- software disguised as “intelligent software”. R has no certification and no formal training for jobs (as yet) though this should change. SAS looks great (still) for getting jobs for grad students. R looks great (yup) for getting research jobs probably not corporate analytics jobs ?What do you think?
Related Articles
- Example 8.13: Bike ride plot, part 2 (r-bloggers.com)
- Example 8.12: Bike ride plot, part 1 (r-bloggers.com)
- SAS offers easy-to-use predictive analytics (v3.co.uk)
- Clinovo Introduces Innovative SAS Solutions at WUSS 2010 (prweb.com)
- Example 8.4: Including subsetting conditions in output (r-bloggers.com)
