The program offers a unique bridge from introductory computer science to hands-on, inquiry-driven data science research using real-world datasets, with a focus on broadening participation in STEM.
The Data4All High School Bridge Workshop at the University of Chicago's Data Science Institute is an 8-week program designed to transition high school students from introductory computer science to inquiry-driven data science research. Participants learn Python programming from scratch and gain essential computational skills for data analysis and visualization. The curriculum emphasizes working with real-world datasets, such as public health data, to conduct statistical analysis and computational problem-solving. Students engage in small group research projects, developing critical collaboration, problem-solving, and communication skills as they investigate data problems and present their findings. The program aims to broaden students' understanding of data science beyond just programming and statistics, highlighting its relevance across various STEM fields and inspiring them to consider careers in data science and AI. Students who successfully complete the program receive a stipend.
A typical day involves learning Python programming, engaging in small group activities and discussions, working on inquiry-driven research projects with real-world datasets, and potentially participating in spark activities or listening to guest speakers.
This program is best for high school sophomores, juniors, and seniors in Chicago who have completed Algebra 1 and are interested in exploring data science and AI, especially those from underrepresented groups in STEM.
University of Chicago campus in Hyde Park, Chicago
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