Women in data analytics face various challenges including workplace gender bias, a lack of female role models, and difficulty achieving work-life balance. Other barriers include limited educational/training opportunities, fewer networking chances, cultural norms/stereotyping, workplace harassment, tougher access to resources, underrepresentation in leadership, and imposter syndrome. These factors hinder women's career progression in the field.
Women in data analytics face various challenges including workplace gender bias, a lack of female role models, and difficulty achieving work-life balance. Other barriers include limited educational/training opportunities, fewer networking chances, cultural norms/stereotyping, workplace harassment, tougher access to resources, underrepresentation in leadership, and imposter syndrome. These factors hinder women's career progression in the field.
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