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#21
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![]() In the short term, R will give you some easy to use tools you can play with in your first day/week of learning. Python is very different, and can do much more, but it will take some time to learn various functions and useful tools.
I’d say learn both at the same time, but you’ll probably take to R much quicker. Sent from my iPhone using Tapatalk |
#22
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![]() I'm biased af, but if you're in insurance and want to pick up a language, R is the way to go. The latest applied actuarial research is pretty much all done in R*, and R has great tooling for general business analysis tasks with shiny/tidyverse/tidymodels.
* E.g. https://papers.ssrn.com/sol3/papers....act_id=3288454, https://papers.ssrn.com/sol3/papers....act_id=3270877, https://arxiv.org/abs/1804.09253 |
#24
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![]() Can you do some explaining to me? How can IT people, presumably people with more tech education than people like you and me, not know this. When people with less tech education, like you and me, know this? Especially with Python which is a language that every person who has taken a programming course knows about.
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#26
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![]() I'll also throw in my own $.02 that Python is easier to learn and more flexible, but R is what the SOA is supporting with it's new analytics exam. |
#27
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And once you get into your specialty, how often do you go back and re-study basic stuff? (When was the last time you worked basic calculus or financial accounting problems on your own? I doubt I could evaluate an integral with a trig substitution from Calc II today with a gun to my head.)
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#29
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#30
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