I like that SAS is very intuitive. For a new coder like me, SAS is clear about when you are making mistakes and where the errors are. It clearly highlights keywords and procedural words so that you know you are doing things correctly.
Additionally, there is a SAS page online that shows you how to do certain analyses. The step-by-step directions or videos show you how to complete each task and are very easy to follow for both novices and experts in coding. This is an amazing resource and I fully took advantage of it.
The "help" function is not as useful as I would like. If I'm having trouble with my code in SAS, I am more likely to google my issue than to use the Help tab within SAS.
There are occasionally glitches that prevent me from having multiple tabs up at once, or from getting an output screen. In these instances, I have to close down SAS entirely and restart. Also, error messages don't always clearly show you the issue in your code, so a lot of troubleshooting is necessary to understand where you went wrong.
Depending on what statistical software you are used to, SAS may be great or it may be confusing. Many of my coworkers prefer to use R, although with the datasets were analyze, SAS has proved to be very useful. However, if you are new to coding, I would recommend SAS as a way to get started. It is a fairly intuitive introduction to statistical coding and analysis.
SAS helps us organize huge population samples and run large-scale analyses on these cohorts. In research of this large scale, SAS is incredibly helpful to compartmentalize and analyze data. It allows us to make hypotheses about the health of different populations, which can in-turn help us protect the health of Americans!