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STEM stands for Science, Technology, Engineering, and Mathematics, and data science incorporates elements from all four areas:

Science: Uses scientific methods to generate insights from data.

Technology: Relies heavily on computer systems, programming, and software tools.

Engineering: Involves building systems for data processing and machine learning.

Mathematics: Requires a strong foundation in statistics, linear algebra, probability, etc.

Because of this interdisciplinary nature, data science is not only part of STEM but is also one of its fastest-growing and most in-demand fields.

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