Data science vs statistics: what’s the practical difference in teams?
The question is about Data Science .
Data science teams focus on predictive modelling, experimentation, application development, unstructured data processing, and automation (using statistics as one of many tools). Statistics teams mostly develop models, analyse research data, or interpret experimental results, with a focus on causality, randomness, and inference. Data science work is broader and often product-centred; statistics is narrower and more theoretical.
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