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Activity Number: 212 - An Emerging Ecosystem for Data Science/Statistics Education
Type: Invited
Date/Time: Monday, July 30, 2018 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Education
Abstract #326750 Presentation
Title: Using Data to Drive Curriculum Development
Author(s): Chester Ivan Ismay*
Companies: DataCamp
Keywords: data science; data-driven; statistics; big data; education; modeling

Data science is a relatively new and fast-changing field that borrows from many disciplines, which makes it hard to define and even harder to teach. Having now trained over 1.5 million (aspiring) data scientists, we at DataCamp aim to equip our students with the tools and skills needed to operate effectively in the data science field. For this reason, we do as any good data scientist would do and use data to determine what our students need to know. By combining internal data sources-student surveys, course engagement data, website search trends, etc.-with external data sources-job posts, Stack Overflow trends, package downloads, etc.-we're able to inform curricular decisions that not only reflect what our students want to learn, but also reflect skill sets that are in demand for the 21st century data scientist. DataCamp is among the first to focus on using large amounts of data and corresponding analyses to help drive data science curriculum.

Authors who are presenting talks have a * after their name.

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