Evaluating College Financial Health with Data Science | Data Science Clinic скачать в хорошем качестве

Evaluating College Financial Health with Data Science | Data Science Clinic

Colleges face growing financial pressures, often not visible to students and families. Prospective students need tools to asses institutional financial health. The National Center for Education Statistics' Integrated Postsecondary Education Data System (IPEDS) offers rich data, but it is complex and hard for non-experts to interpret. Data Science Clinic students Disha Mohta, Danny Mendoza, Jeanette Wu, and Jerry Shu worked to simplify complex IPEDS data, identify financial risk metrics, and enable informed college choices. This project was developed as part of the University of Chicago Data Science Institute's Data Science Clinic Applied experiential learning is a core component of the DSI educational mission. The Data Science Clinic provides students with projects that transcend the traditional classroom experience. The Clinic is a project-based course where students work in teams as data scientists with real-world clients under the supervision of mentor instructors. To do this we partner with industry, social impact, civic organizations and research groups for 1 or 2 academic quarters on data science projects. As part of their training, students will be tasked with producing key deliverables, such as data analysis, open source software, as well as final client presentations and research reports. Learn more about the Data Science Clinic - https://datascience.uchicago.edu/educ... Follow us on social media! Twitter (X):   / dsi_uchicago   Instagram:   / dsi_uchicago   LinkedIn:   / dsi-uchicago   BlueSky: https://bsky.app/profile/dsi-uchicago... Photo by The Jopwell Collection on Unsplash