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What is the difference between data science and data analysis?
Data analysis is focused on examining and interpreting data to identify patterns and trends, while data science involves the development and implementation of predictive models to make informed decisions.
Data analysis involves working with larger, more complex datasets, while data science involves working with smaller, structured datasets.
Data analysis is more interdisciplinary than data science.
Data science is more focused on examining and interpreting data than data analysis.
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