What is the difference between Data Science and Data Engineering…?
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These are more or less the similar courses with names used interchangeably.
Data Science focuses on analyzing and interpreting complex data to help make decisions. Key tasks include building and training models, performing statistical analysis, and deriving insights from data.
Data Engineering involves designing and maintaining the infrastructure needed for data storage, processing, and retrieval. Key tasks include building data pipelines, managing databases, and ensuring data quality.
In summary, data scientists analyze data, while data engineers build and manage the systems that store and process the data.