While data analytics and data science have distinct focuses, there is overlap between the two fields. Data scientists often perform analytics tasks, and data analysts may use machine learning tools in their work.
Collaboration between data analysts and data scientists is common, with each contributing their expertise to derive comprehensive insights and solutions from data.
In summary, data analytics tends to focus on exploring historical data for decision-making, while data science involves a broader range of techniques, including predictive modeling and machine learning, to solve complex problems and make predictions about the future.