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Data Science Education Lags Behind in Diversity
General Assembly
October 19, 2018
General Assembly

Data Science Education Lags Behind in Diversity

Below is an article originally written by PowerToFly Partner General Assembly, and published on September 25, 2017. Go to General Assembly's page on PowerToFly to see their open positions and learn more.

As gender and racial representation improve in other tech disciplines, the study of data science hasn't caught up.

In the past few years, much attention has been drawn to the dearth of women and people of color in tech-related fields. A recent article in Forbes noted, "Women hold only about 26% of data jobs in the United States. There are a few reasons for the gender gap: a lack of STEM education for women early on in life, lack of mentorship for women in data science, and human resources rules and regulations not catching up to gender balance policies, to name a few." Federal civil rights data further demonstrate that "black and Latino high school students are being shortchanged in their access to high-level math and science courses that could prepare them for college" and for careers in fields like data science.

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diversity diverse workforce diversity in tech women at work women in tech women in stem women in the workforce diversity in data science
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