Timeline for Do I have to learn SAS if I want to go into industry?
Current License: CC BY-SA 3.0
14 events
| when toggle format | what | by | license | comment | |
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| May 15, 2019 at 8:55 | review | Close votes | |||
| May 15, 2019 at 11:59 | |||||
| Mar 10, 2014 at 4:04 | comment | added | sashkello | You don't mention industry in your question. If it is Bio, then I don't know, if it is Data Science startup, then it is mostly Python & sometimes R, if it is banking, it is quite often SAS, but as often R and sometimes Python, if it is quant finance, it is rarely SAS, more of C++, Python, R, but usually they don't care. All in all, browse job ads which attract you - if lots of them require SAS, learn it. | |
| Mar 10, 2014 at 3:58 | comment | added | sashkello | I abhor R. Whenever I am forced to use it, I feel like I am wearing 2 left shoes that are 3 sizes too small. I use Python. | |
| Mar 10, 2014 at 0:10 | history | edited | Nick Stauner | CC BY-SA 3.0 |
punctuation, extra tag
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| Mar 10, 2014 at 0:03 | answer | added | elmaroto10 | timeline score: 2 | |
| Mar 9, 2014 at 23:24 | history | made wiki | Post Made Community Wiki by whuber♦ | ||
| Mar 9, 2014 at 21:27 | comment | added | Glen_b | It depends on what jobs you do in which industries. My suggestion would be simply to bite the bullet and learn it enough to be able to work with it moderately well (and to be able to put it on a resume), because even if you don't use for your analysis, you'll likely be working with/getting data from/giving information to people who do use it. It helps if you can understand the constraints under which they operate. | |
| Mar 9, 2014 at 21:13 | vote | accept | bdeonovic | ||
| Mar 9, 2014 at 21:13 | vote | accept | bdeonovic | ||
| Mar 9, 2014 at 21:13 | |||||
| Mar 9, 2014 at 21:03 | answer | added | Aksakal | timeline score: 14 | |
| Mar 9, 2014 at 20:24 | comment | added | bdeonovic | I wish bio-industry would see the glorious light that is R :( | |
| Mar 9, 2014 at 20:16 | comment | added | cardinal | Any answer will depend strongly on the industry you're interested in. For pharma and other bio-related research and work, SAS has a very strong foothold, to the point that it is often implicitly assumed to be the software preferred by US regulatory agencies for submissions and reporting. (See this though!) However, in some other technical fields where heavy statistical analysis is done, you'll find R is currently (far) more prevalent. | |
| Mar 9, 2014 at 20:07 | comment | added | cardinal | Related: R vs SAS, why is SAS preferred by private companies? | |
| Mar 9, 2014 at 19:45 | history | asked | bdeonovic | CC BY-SA 3.0 |