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I appreciate the anger of youth or the arrogance of techiehood or whatever you got going there. But realistically techniques that are so new they haven't gotten into SAS aren't going to get past FDA officials or peer reviewers. These are sophisticated people, but the cutting edge is the cutting edge because nobody else is there. The vast majority of the jobs are back off that edge. I work with a guy who just works out the equations and writes a SAS macro for whatever he wants. He is on the cutting edge but there's one of him for every dozen of me.
Statistical techniques are getting more advanced but an RCT isn't going to provide much of an arena for that.
And I will certainly brag that I'm not in tech-finance. I like to think that it's possible I'll do something that makes a real contribution.
And I appreciate the old people who refuse to get with the times thing you've got going there.
Maybe I should go back to using SPSS according to your reasoning....no thanks.
I can't think of a single professor, PhD candidate, or person I've worked with over the past decade who has used SAS. It's on it's way to a painful death.
They use SAS in advertising agencies...so hey, there you go.
And I appreciate the old people who refuse to get with the times thing you've got going there.
Maybe I should go back to using SPSS according to your reasoning....no thanks.
I can't think of a single professor, PhD candidate, or person I've worked with over the past decade who has used SAS. It's on it's way to a painful death.
They use SAS in advertising agencies...so hey, there you go.
The FDA doesn't like SPSS and it isn't as powerful.
SAS doesn't seem to have any shortage of courses being taught in it. Everybody from new students to the most senior people use it.
And I appreciate the old people who refuse to get with the times thing you've got going there.
Maybe I should go back to using SPSS according to your reasoning....no thanks.
I can't think of a single professor, PhD candidate, or person I've worked with over the past decade who has used SAS. It's on it's way to a painful death.
They use SAS in advertising agencies...so hey, there you go.
Tony, dude...I do ok work but not as advanced as the things you’re talking about. I understand and appreciate them but there is just not a need for that kind of high knowledge (that's a compliment) for like 90% of the work that people do. I mean heck, I’ve met tons of people taht have Sr. Business Analyst titles that use mostly Excel. Excel!
What you’re talking about isn’t for mortals. I have a better appreciation for R but SAS ain’t goin’ nowhere no time soon. It’s a good application despite the fact that it can’t bring the dead back to life. The knowledge and techniques you describe are very far from what a person needs to land a job, and there are plenty of good jobs for those who are good with SQL and SAS – plenty. We can use one of those people here – right now. And it takes a good head to be good with those.
Tony, dude...I do ok work but not as advanced as the things you’re talking about. I understand and appreciate them but there is just not a need for that kind of high knowledge (that's a compliment) for like 90% of the work that people do. I mean heck, I’ve met tons of people taht have Sr. Business Analyst titles that use mostly Excel. Excel!
What you’re talking about isn’t for mortals. I have a better appreciation for R but SAS ain’t goin’ nowhere no time soon. It’s a good application despite the fact that it can’t bring the dead back to life. The knowledge and techniques you describe are very far from what a person needs to land a job, and there are plenty of good jobs for those who are good with SQL and SAS – plenty. We can use one of those people here – right now. And it takes a good head to be good with those.
I think it's fairly essential. Let's take a use case where an employee is looking at the relationship between sales volume and zones throughout the country. One, I'd want to look at frequency distributions and understand how the data looks like. Then, I might generate a table that compare average or mediate sales volume by zone. In many cases, it can stop there. However, a person who is really good can take the test step to test the null hypothesis that there is no difference across the various zones using anova, frequentist hypothesis tests, regression, anova, or something else. It's a small extra step can take anyone from average to above mortal.
And I appreciate the old people who refuse to get with the times thing you've got going there.
Maybe I should go back to using SPSS according to your reasoning....no thanks.
I can't think of a single professor, PhD candidate, or person I've worked with over the past decade who has used SAS. It's on it's way to a painful death.
They use SAS in advertising agencies...so hey, there you go.
At times I think SPSS would be a step up from where I work. We're still stuck using pre-canned Oracle queries to save data to Excel for analysis. And the IT folks have disabled even the analysis add-in for Excel because, well they're the IT folks and they can. I can't even do a simple ANOVA without having to hand jam the data. You guys talk about R and all I can do is sit here and do a stacked line plot in Excel because the boss thinks it's actually telling him something.
The field is flooded. So many people running crappy flawed regressions that are worse than just guessing.
The key for money is going to be having a business specialty like the marketing analytics guy or biostats guy or social analytics guy. That will allow you to separate yourself.
As a data scientist who does some data analyst work, I can tell you that this field is getting flooded....my suggestion is to stay away. So many people coming in....driving salaries down and most of the new folks aren't that good, especially on the statistical side. The competition is fierce, just be aware of that
Id think that was a good thing, especially if one can comp positively to them.
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