SAS Data Science

Building models with SAS Enterprise Miner, SAS Factory Miner, SAS Viya (Machine Learning), SAS Visual Text Analytics, with point-and-click interfaces or programming
BookmarkSubscribeRSS Feed
koltyn
Calcite | Level 5

I just moved from Python to SAS for 4 months due to new job requirements. I wonder how you think SAS compared with other languages, any future.

Mine:

- SAS is not so complex. The only problem is we have to memorize weird syntax

- Lots of problem can be solved with proc sql. Unfortunately, proc sql has some different characteristics compared with standard SQL (e.g. why row_number is missing in proc sql????). I likely use SAS mainly for practicing SQL.

- The syntax is unique and not transferrable. If you're in SAS industry for too long, then it's likely hard to move to other jobs with different tool. Unlike if you know MATLAB or Python, you can easily move to R, or even C/C++ (They're interconnected with each other very well, SAS is a standalone hero)

- Company uses SAS likely for security purposes (need an organization who is responsible for the tool if anything bad happened)

- Then SAS Visual Analytics is another story and if you program for Advanced Filter in SAS Viya, then again it's more or less different systax compared with SAS Guide.

What's your thought?

1 REPLY 1
PaigeMiller
Diamond | Level 26

Likely spam. Or someone trying to start an argument. Duplicate thread on reddit over a year ago. https://www.reddit.com/r/datascience/comments/np8uqk/what_is_your_thought_on_sas_as_a_tool_for_data/

--
Paige Miller

sas-innovate-white.png

Our biggest data and AI event of the year.

Don’t miss the livestream kicking off May 7. It’s free. It’s easy. And it’s the best seat in the house.

Join us virtually with our complimentary SAS Innovate Digital Pass. Watch live or on-demand in multiple languages, with translations available to help you get the most out of every session.

 

Register now!

How to choose a machine learning algorithm

Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.

Find more tutorials on the SAS Users YouTube channel.

Discussion stats
  • 1 reply
  • 956 views
  • 2 likes
  • 2 in conversation