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What is the difference between a data scientist and a data analyst?

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The difference between a data scientist and a data analyst is that data scientists have the ability to extract meaningful insights from large amounts of raw data and develop models to explain those findings. Data analysts, on the other hand, are tasked with finding patterns in big sets of information and presenting them in a way that can be easily understood by non-technical people.

Data scientists are typically paid more than data analysts, because they are expected to create machine learning models that can train themselves using millions or billions of examples from past cases. Data analysts typically work on smaller projects, but they're often at the forefront of the field because they need to explain what they've discovered through charts and graphs.

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