Difference between data analytics,data engineer and data science

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Accepted Answer

Data analytics focuses on analyzing data to gain insights, data engineering involves building and maintaining data pipelines, and data science combines both to create predictive models.

Data analytics involves analyzing data to gain insights and make data-driven decisions
Data engineering focuses on building and maintaining data pipelines to ensure data is accessible and reliable
Data science combines both data analytics and data engineering to create predictive models and algorithms
Example: Data analytics would involve analyzing customer behavior to improve marketing strategies, data engineering would involve building a data pipeline to collect and store customer data, and data science would involve using machine learning algorithms to predict customer preferences

Difference between data analytics,data engineer and data science

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