Data science bootcamps promise career transformation in 12 weeks, but I've interviewed 40+ candidates from these programs and most struggle with real-world messy datasets. Should we still treat them as a valid entry point into the field? I've seen a few exceptional bootcamp grads, yet the majority lack the statistical depth that a four-year degree provides, which makes me wonder if we're setting people up for failure.