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flourish. CAM offers top-ranked degrees and programs in Film & Television, Media Forensics, Music & Entertainment, and Visual Arts. Media Forensics is the scientific study into the collection, analysis
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on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b) Human geography: political-ethnic, cultural, human-environment
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working professionals, including preparing data, conducting data analysis such as regression, forecasting, optimization, data visualization, and data story telling. This degree prepares students for entry
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and interpret medical utilization data and costs, identifying new metrics for measuring results as well as monitoring current metrics for trends. Ensures that all analysis is actionable for business
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) Preparation of questionnaires and other data collection protocols visualization of geospatial data; d) Analysis of quantitative data; e) Participate in literature reviews; f) Participate in
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
, dashboards, and data visualizations in alignment with institutional needs and data governance standards. This position coordinates these data collection and reporting processes across a network of academic and
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. These services are related to the evaluation, acquisition, use, troubleshooting, maintenance and upgrade of computer hardware and software. Responds to user requests and provides solutions in a timely manner
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Degree Preferred Education: Master's Degree in higher education, or a related field Required Experience: 5+ years project management, data analysis, or program assessment experience Required Skills
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the creation and analysis of a shareable data set (of already collected data) from nearly 10,000 children ages 15 to 36 months. There is both a scientific premise and a methodological premise underlying the
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. Experience with advanced analytics, including predictive modeling, data science, or statistical analysis to support data-driven decision-making. Demonstrated experience designing and implementing ETL/ELT