University of Maryland Global Campus 3 credits DATA
Prerequisites: ARIN 440 (or DATA 440), DATA 445, and ARIN 450 (or DATA 450). A project-based, practical application of the knowledge, technical skills, and critical-thinking skills acquired during previous study designed to showcase one's data science expertise. Individually selected projects include all phases of the machine learning life cycle and a peer-reviewed final report and presentation. Topics are selected from student-affiliated organizations or employers, special government/private agency requests, or other faculty-approved sources in a wide range of domains, such as healthcare, financial services, marketing, sciences, and government.
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