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The students work in small teams on mini-projects that include data curation and management, exploratory data analysis, statistical modeling and machine learning. Students develop analytical products to share with the larger group. This opportunity is utilized to give students progressively harder data acquisition, management and curation activities facilitated by co-location with fellow students and faculty.


The week is organized into structured, problem-based learning activities that focus on progressing from raw data to analytical findings. Along with hands-on learning, students will attend seminars with faculty members to discuss current research and development activities revolving around Big Data and Data Science. The seminars include human-centric (HCI) data, data-driven journalism, Big Data Security, and the Big Data landscape.


The online DSA program at the university is enhanced by the executive session. The cohort students enjoy the opportunities to get to know each other in person and develop relationships networking with their peers, faculty and industry representatives. The one week of concentrated effort, interaction, networking and training enhances the otherwise online program.

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