Data science is a broader field that involves a range of tasks, while data analytics focuses specifically on the analysis and interpretation of data.
Data science often focuses on developing new methods and techniques, while data analytics is focused on applying existing methods and techniques to solve business problems.
Data science requires a strong foundation in computer science, math, and statistics, while data analytics may not require the same level of technical expertise.
Data science often involves predictive modeling, while data analytics may focus more on descriptive analytics.
Data science often involves longer-term projects with a focus on solving complex problems, while data analytics may involve shorter-term projects with a focus on delivering insights or reports.
Data science may involve deploying machine learning models in production environments, while data analytics may not require the same level of deployment and integration with other systems.