Data science bootcamps promise career transformation in 12 weeks, but as someone who hired junior analysts for three years, I've seen graduates struggle with the gap between dashboarding skills and real statistical reasoning. The best bootcamp grad I worked with had a math degree underneath; the worst couldn't explain p-values. Can a curriculum really replace the slow accumulation of domain knowledge and statistical intuition that comes from years of practice, or are we just outsourcing fundamental education to fast-food training programs?