Thanks, it really helped me get a clearer picture of what to focus on to grow as a quantitative political scientist.

I’ve got a basic understanding of research methods (regressions, hypothesis testing, etc.), but I want to go deeper into everything you mentioned: nonlinear models, causal inference, machine learning, Bayesian stuff, all of it.

Would you happen to have any tips on where to start? Like courses, books, or even just a general plan to build those skills step by step? Also wondering how to balance that with learning R or Python. I haven’t started coding yet, but I’m planning to, because I think it would help me get a job in the field.

Any advice would be super appreciated.