Suppose you work at a company that has SAS and R installed, which one would you be inclined to focus more on in terms of self learning?
The obvious answer is to learn whichever one the company is using; however, we don't use either in my department..so all this is for self learning/gain another skill set/further job security etc etc.
my job right now is As an 'analyst' for an insurance company. Data collection, see who is doing well, not doing well, adjusting factors and pricing. A lot of it is done through excel and basic arithmetic, so no statistical or predictive analytics concepts. However I would like to use SAS or R to apply these concepts to see if I can get better and more concrete results than just eyeballing.
Would you start with R or SAS? my first thought was that since SAS costs so much money, I should 'milk it'. While I still have it. SAS is still relevant in the industry and is not a bad skill to have. However, while R is free, it's value seems to be growing.
Personally, I feel R is a bit friendlier just because I can find more resources on it, but not sure if the name of SAS really trumps them all.
Personally, for my career goal, I'm not saying I want to be a statistician, but I do want to stay in the data analytics field and want to make myself more marketable.
The obvious answer is to learn whichever one the company is using; however, we don't use either in my department..so all this is for self learning/gain another skill set/further job security etc etc.
my job right now is As an 'analyst' for an insurance company. Data collection, see who is doing well, not doing well, adjusting factors and pricing. A lot of it is done through excel and basic arithmetic, so no statistical or predictive analytics concepts. However I would like to use SAS or R to apply these concepts to see if I can get better and more concrete results than just eyeballing.
Would you start with R or SAS? my first thought was that since SAS costs so much money, I should 'milk it'. While I still have it. SAS is still relevant in the industry and is not a bad skill to have. However, while R is free, it's value seems to be growing.
Personally, I feel R is a bit friendlier just because I can find more resources on it, but not sure if the name of SAS really trumps them all.
Personally, for my career goal, I'm not saying I want to be a statistician, but I do want to stay in the data analytics field and want to make myself more marketable.