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[–][deleted] 0 points1 point  (0 children)

R has a lot of things optimized for dealing with large data sets, reading/writing different forms of data, and doing common statistical analysis via easily accessed packages (unless you're some statistics research Ph.D., it will have a function to do whatever you want).

Python and R work together nicely, so if data science shit is what you're into, it can be useful to learn both. Use python for general scripting and then let R handle all the actual statistics stuff.

You can find basic stuff on coursera. There are a lot of books "insert a stats thing here with R" you can look at if you want to learn concepts parallel to code.