Data Analyst vs Data Scientist: What's the Difference?

Data Analyst vs Data Scientist: What's the Difference?

Data Analyst answers "What happened + why?" They turn data into clear business insights using SQL, Excel, and Tableau. Their output: dashboards, reports, and KPIs. They are data interpreters focused on structured data and storytelling.

Data Scientist answers "What will happen + what to do next?" They convert messy business problems into ML solutions using Python, notebooks, and statistical modeling. Their output: predictions, experiments, and decision systems. They are data problem solvers using deep ML, feature engineering, and uncertainty quantification.

Final Identity: Analyst interprets — Scientist solves with ML.

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Видео Data Analyst vs Data Scientist: What's the Difference? канала DLK Software Solutions