Data Scientists/Data Analysts

What Is the Difference between Data Scientists and Data Analysts?

While the two terms overlap in terms of tasks and the specific skills needed to perform each role, they mainly differ in that data scientists gain insights from information, while data analysts go a step further by identifying and predicting trends and patterns.

As such, data scientists use programming languages and mathematical modeling techniques to process data and visualize trends. On the other hand, data analysts use Excel or SQL to clean, organize, and analyze information. While data scientists can do the work of data analysts, the latter would need advanced programming and ML skills to become data scientists.

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