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Data Science Summer Academy for Chicago Public School Students

机译:芝加哥公立学生数据科学夏季学院

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In this article, we describe DePaul University's summer data science academy for Chicago Public School students which was, in part, funded through the SIGKDD Impact Award program in 2018. The goal of the academy was to increase awareness about data science among high school students. The program specifically aimed to broaden participation of underrepresented groups in computing by targeting economically disadvantaged, African American, Hispanic, and female students. A cohort of 15 high school students from the Chicago Public School system participated in this week-long lab-based data science program learning about a variety of data science methods and their applications, including data visualization, distance-based methods, classification, clustering and others. The group comprised of 75% African American and Hispanic students, 58.3% of whom were female.
机译:在本文中,我们描述了芝加哥公立学校的夏季数据科学学院,部分是通过2018年通过SIGKDD影响奖励课程资助的。学院的目标是提高高中学生数据科学的认识。 该计划专门旨在通过针对经济上处于不利地位,非洲裔美国,西班牙裔和女学生来扩大不足的团体参与。 来自芝加哥公立学校系统的15名高中生的队列参加了本周长期实验室的数据科学计划,了解各种数据科学方法及其应用,包括数据可视化,基于距离的方法,分类,聚类和群集和 其他。 该集团由75%的非洲裔美国和西班牙裔学生组成,其中58.3%是女性。

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