Rethinking data science skills in the AI era: Practice still matters
THE SO WHAT
If AI tools are eroding hands-on practice for data scientists, you risk a generation of operators who can prompt but can’t debug. Leaders should deliberately design workflows and training that force people to touch raw data, write baseline models, and validate outputs instead of outsourcing all of it to the assistant.
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