Hey @maddisonstasz, not sure I know any evaluators who are well-versed in Python. Most evaluators I know who start getting more into the complex data world seem to opt for R. Which makes sense because so many already have some comfort level with the S worlds (SPSS, SAS, S+) and R isn’t as big of a jump.
I see a lot more Python when connecting with coders, and other people who come into data science from areas outside of academic disciplines.
All that said, I don’t think it’s a bad idea to push your way outside what other evaluators do. We are in an age where knowing something different from the people around you can give you an edge.
For either R or Python, there are a number of courses available for free through Coursera. Another alternative with practical self-paced courses would be datacamp.com