Primary Course Director: Ayaz Hyder Format: Online (synchronous)
Days/times: Tuesday and Thursday from 11:10AM to 12:30PM
The COVID-19 pandemic has highlighted many challenges for delivering impactful data-driven results for decision-making. In this course, you will learn how to overcome these challenges by learning foundational skills to ask the right questions, gain applied instruction in a wide range of data analytics methods in public health, learn to make policy-relevant inferences and gain experience in presenting and communicating complex analysis to diverse stakeholders in public health and related domains. While the companion course PUBHLTH5015 (Public Health Data Analytics I) focused mainly on theory, this course (PUBHLTH7015 Public Health Data Analytics II) will focus on the application of various data analytics methods in public health including data visualization, data mining, statistical learning, systems thinking and participatory modeling, modeling (system dynamics, agent-based, network, and hybrid approaches), social computing and NLP, and time-series and spatial methods.