ChatGPT in Statistics and Data Learning

Summarizes where ChatGPT is reliable versus error-prone for statistics work: it is strong at generating synthetic datasets and drafting R or Python analysis code but needs supervision on conceptual questions, where it can confuse metrics. You get three classroom-tested practices for using it as a supervised assistant rather than an authority.