University of Maryland Global Campus 3 credits DATA
Prerequisite: DATA 645. An in-depth exploration and application of data science techniques and methodologies to solve complex problems and answer research questions within a specialization. The objective is to conduct a detailed research analysis of the nature and types of data within a selected domain, identify a problem addressing specific challenges or opportunities related to data science, and develop the main stages of a data project. Topics include AutoML, model evaluation, results interpretation, and recommendations. Projects are sourced from various sectors, including finance, marketing, supply chain management, cybersecurity, healthcare, medicine, pharmaceuticals, environmental management, and government, as well as any other domain that aligns with the chosen specialization and research interests.
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