Is R worth learning from a career standpoint?

I introduced R to my manager.
We're are now using it instead of SAS, perl, VBA and C sharp.
It's fucking patrician tier language. Tons of packages, huge community. Also the need for analysts is skyrocketing

You'll find that R is very effective for performing quick and dirty data science, and Python is better for implementing data science into a production.

If you're trying to get into data science and machine learning then just learn them both simultaneously, it's good practice anyway.

Which is the best place to find these jobs? I see in a lot of job listings that Python is always listed, R sometimes.

I switch between stata, python (pandas / Jupyter notebook type things) and R. the complicated statistics and maths stuff are for R, the big data projects that need to be fast but also involve statistics type things that python doesn’t have packages for I use stata. And for webscraping , anything requiring annoying data transformations that are hard or require me to build my own functions, or anything that has to run automatically for a longer period of time or something , i go to python. switching between them all is a disaster , also do not recommend. R does all of it . So you could just stay in R. In practice I get super frustrated running regressions with its stupid programming language and how complicated it is to do anything normal, and how slow it is when you finally get it to go. Stata is hands down the best for regression models , especially if you’re not sure what the model you want is and you want to see the output of a whole bunch of different ones . quick and painless. Downside is it’s not free.

just say you know machine learning and you’ll find jobs. Machine learning packages are bomb on R

Look for data scientist jobs or any job that requires quantitative data analysis skills. Even if they don't mention R explicitly, if you know R you're usually ahead of the competition (older folks are trained in SPSS or Matlab, but companies are giving priority to people who know R these days).

You might want to be active on the R Stack Overflow, help to develop a package, or have quantitative research done in R published (which is what helped me).

This. Learning 'caret' helps a lot.

This is an excellent textbook also for learning R / machine learning stuffs at the same time. Includes R sample programs to do, very readable and if you read it through you’ll have a pretty high level understanding of the whole deal www-bcf.usc.edu/~gareth/ISL/ (link to pdf of the book is on rhat page) , written by him and a stanford professor . Just came out last year

Currently learning python for the overall utility of it. From what I’ve gathered, nothing beats R for statistical analysis (it was written by statisticians for statisticians) but python can do just about everything R can and so much more. In my location, python seems to be more valuable for data science/analyst jobs.

python can’t do regressions in any normal way , or basic statistical anything at all really. you have to leave python pretty quick once you start needing to make predictions or want confidence intervals on anything

It absolutely can. I’ve talked to several data scientists and professors who all use it for those purposes—whether it’s machine learning or experimental models in academia. There’s entire courses/textbooks dedicated to it.

trying real hard to find a data analysis job next year as i finish uni. so far iv taken basic online courses on python, R, sas, excel+vba, tableau, power bi, sql and a basic stats course. im hoping by the end of the year to build a few projects to put on my github.

will i make it/any advice?