Students receive a stipend upon successful completion of this paid workshop, which aims to broaden participation and increase equity and access to cutting-edge data science education.
The Data4All High School Workshop introduces Chicago high school students to the data science research lifecycle and essential computational skills for data analysis and visualization. Participants learn the Python programming language from scratch and apply it to real-world datasets, including public health case studies like COVID's impact in Chicago communities. The program emphasizes inquiry-driven research in small groups, fostering critical collaboration, problem-solving, and communication skills. Students gain experience investigating data problems, performing statistical analysis, making predictions, and presenting their findings. The curriculum is designed to bridge introductory computer science concepts with applied data science research, preparing students for future academic and career pathways in STEM fields, particularly data science and AI.
A typical day involves learning the Python programming language, conducting inquiry-driven research in small groups with the guidance of undergraduate mentors, and training on how to investigate data problems and present findings. Breakfast and lunch are provided.
This workshop is ideal for Chicago high school sophomores, juniors, and seniors who have completed Algebra 1 and are interested in exploring data science and AI, regardless of prior Python knowledge.
University of Chicago
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