Jan. 8, 2024, 8:20 p.m. | /u/trashed_culture

Data Science www.reddit.com

I think historically DS was populated by math and statistics people. And science people. Core backgrounds were stats, physics, social sciences at the PhD level. Gradually DS has become important to business and requires deployment. Developers become DS savvy and specialties start to emerge adjacent to data scientists, meaning DevOps for AI, MLOps, Data Engineering. And of course there are FSDs, BEEs, and FEEs supporting DS work.

All this made sense to me. But now I'm seeing DS courses that …

become business core data datascience data scientists deployment dev developers devops math meaning mlops people phd physics science scientists social social sciences statistics stats think

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