AI is eroding data scientists' skills by replacing hands-on practice
The rise of AI tools in data science is putting skill development at risk by reducing the hands-on practice and repetition that build genuine expertise. Experts warn that relying too heavily on AI shortcuts can leave data scientists with superficial knowledge and significant skill gaps. True proficiency in the field still requires deliberate practice, not just AI-assisted outputs.
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