While both roles benefit from a degree in computer science, statistics, or related fields, data engineering often requires deeper knowledge in software engineering, algorithms, and distributed systems. Data analysis can be more accessible to those with backgrounds in business, economics, or social sciences, making it a versatile choice for women transitioning from diverse academic disciplines.
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