Data Analysts typically require strong skills in statistics, data visualization (e.g., Tableau, Power BI), and query languages like SQL. Data Engineers need expertise in programming (Python, Java, Scala), data warehousing, ETL (Extract, Transform, Load) processes, and cloud platforms (AWS, Azure). Women interested in applied math and storytelling might find data analysis rewarding, while those passionate about coding and infrastructure may prefer engineering.
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