Too Long; Didn't Read
Most data bootcamps’ curriculums feature a heavy investment in pandas (alongside Jupyter notebooks) while SQL is at best an after-thought. They should do the opposite.
Pandas introduces significant overhead in terms of complexity, inefficiency, idiosyncrasy, and opportunities for confusion. There are things that pandas does better, but overall, when it comes to pure analytics, SQL is hard to beat.