PHIS 670 - Data Analytics for Public Health

3 Credits (Every Spring semester)
Prerequisite(s): PHIS 556- Public Health Informatics. This course covers the data science cycle and public health analytic. It covers health data sources and flow, data curation including combining multiple data streams (e.g., clinical data from electronic health records, lab results, immunizations, demographic data, utilization metrics, claims data, and data from other non-healthcare sources such as SDOH, waste-water, etc.), public health data and analytics systems, visualization, descriptive and predicative analytics, application of machine learning, text analytics, untended bias in predicative models, usability, security, and privacy. It uses popular analytics software, data science and analytics libraries available in Python, R or other programming languages as well as open-source data mining software. A public health data analytic project is required.