GAY Who are the Flatboi Downs-Pt II

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definitely said:
alright fuckwads what's poppin.

showed up to this lecture without looking at the notes first. 90 minutes of "intro to R and simple random sampling". pretty sure I went over this 3 years ago but now I'm too comfortable to leave the lecture.
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R is the shit.

So what is this course, "Intro to Statistics for Enginerds"?
 
Jehannum said:
R is the shit.

So what is this course, "Intro to Statistics for Enginerds"?
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almost as bad. it's a third-year course that all stat majors have to take (and many non-stat majors take because it's so easy), "sampling and experimental design"...but the assignments are all in R so they teach it new for anyone who hasn't used it before.

I learned R to an unnecessary degree through a few optimisation algorithm/ML courses last year and have used it a ton at work, so a lecture on "intro to simple random sampling" is what one might call a waste of time.

edit: to answer the other question, I'm an actuarial-science-turned-statistics-and-computer-science major.
 
definitely said:
almost as bad. it's a third-year course that all stat majors have to take (and many non-stat majors take because it's so easy), "sampling and experimental design"...but the assignments are all in R so they teach it new for anyone who hasn't used it before.

I learned R to an unnecessary degree through a few optimisation algorithm/ML courses last year and have used it a ton at work, so a lecture on "intro to simple random sampling" is what one might call a waste of time.

edit: to answer the other question, I'm an actuarial-science-turned-statistics-and-computer-science major.
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The fuck do they have stat guys working in R and not something like SAS?
 
Jehannum said:
For stat people, SAS is probably better since it's an industry standard.

It's not like universities are known for being thrifty, after all.
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you'd think. but I guess they mostly expect us to get SAS experience on-job, and most of my friends have learned it primarily through co-ops.

on the other hand, as an actuary, our R&D team was exclusively R-based and very much appreciated my experience. I think that the CIA/SOA still prefers R for stochastic mortality modelling and experience trend analysis, which ends up working in my favour since I'm using the stats degree as a generalization but focusing on actuarial careers anyway.
 
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