Data Analytics and Data Science are closely related but have different focuses. Data Analytics concentrates on analyzing existing data to identify trends and support decisions. Data Science goes a step further by using machine learning, predictive modeling, and artificial intelligence to forecast future outcomes. Data Analysts typically work with structured data, while Data Scientists handle large and complex datasets. Both roles are important in organizations, but Data Science usually requires more advanced programming and mathematical knowledge compared to Data Analytics.
