What are the key differences between data analysts and data scientists?

Data analysts and data scientists have distinct but complementary roles. Data analysts focus on interpreting existing data to identify trends, generate reports, and support business decisions. They use tools like Excel, SQL, and BI platforms. Data scientists, on the other hand, go a step further by building predictive models, using machine learning, and handling unstructured data to forecast future trends. While analysts explain "what happened," scientists predict "what will happen." Both roles require analytical thinking, but data scientists typically have stronger programming and statistical skills. Earning an Online Data Analytics certificate is a great starting point for aspiring data analysts aiming to grow in this field.