Data Science focuses on creating models and algorithms to derive insights from complex data, requiring strong programming and statistical skills. Data Analytics, on the other hand, emphasizes interpreting existing data to inform business decisions, utilizing tools like Excel and SQL. While both roles analyze data, Data Scientists build predictive models, whereas Data Analysts primarily visualize and report findings.