Data Analytics vs Data Science: Top Differences, Job Roles & Career Paths

Data Analytics vs. Data Science

Analytics focuses on past data for immediate insights, while Science uses advanced methods to predict & automate future outcomes.

Skills

Analysts use SQL & visualization tools; Scientists need programming, machine learning, and advanced math skills.

AI Factory

The AI Factory combines Analytics & Science to improve predictions & decisions through iterative feedback.

Generative AI in Data

Generative AI enhances both fields by creating synthetic data & advanced models, improving insights & predictions.

Jobs

Analytics roles focus on historical data for business improvements, while Science roles develop predictive models & systems for innovation.

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