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Data Analyst vs Data Scientist: Understanding the Key Differences

This comparison highlights the key differences between Data Analysts and Data Scientists, focusing on their core responsibilities, tools, and career paths within the data ecosystem.

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The "Data Analyst vs Data Scientist" guide contrasts the roles of Data Analysts and Data Scientists. Data Analysts work with structured data using tools like Excel and Power BI to create reports that support immediate business decisions. They typically have a background in business or economics. In contrast, Data Scientists handle both structured and unstructured data, utilizing advanced tools like Python and TensorFlow to develop predictive models that guide long-term strategies. They usually possess advanced degrees in data science or related fields and are often involved in AI and machine learning initiatives.

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