Data Science for Everyone with ISLE: Leveraging Web Technologies to Increase Data Acumen
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Much of the first wave of Data Science programs was built on a foundation of already existing computing-oriented classes; less effort was spent on how people from diverse backgrounds and disciplines approach or could optimally collaborate on solving problems using data. At Carnegie Mellon, the Department of Statistics & Data Science teaches thousands of students with future degrees ranging from Pre-Med to Rhetoric to Chemistry to Business to Statistics & Machine Learning and partners with a wide range of industries and non-profits on data-centric problems of varying complexity. While the term “data science” is often associated with the need for high level technical skills and specific programming languages, in our experience, the struggle to fully leverage and incorporate data science is far more related to understanding how to think and talk about data, interpret data, make decisions with data - that is, data literacy and data acumen.
The platform also supports student-driven inquiry and case studies, which users can complete independently or collaboratively in real-time. We track and model every click, word used, and decision made throughout the data analysis pipeline from loading the data to a final written report including real-time visualizations of collected data of mixed modality (user actions, clicks, text, audio, video, etc). The platform is flexible enough to allow adaptation, providing different modes of data analysis and active learning, and collaborative opportunities for different audiences. With ISLE, everyone can harness the power of data science!