Women in data science education may face unequal access to resources such as lab equipment, funding, and advanced courses. Ensuring fairness in these areas requires institutional commitment to equity. Opportunities include reviewing and revising resource allocation processes, providing scholarships specifically for women in data science, and ensuring a transparent and inclusive selection process for advanced courses and research positions.
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