New York University 3 credits Global Public Health
There is a gap between data collection and statistical analysis. Data management and manipulation is an essential component of public health practice necessary to fill this gap. The course will focus on command-based programming for modifying and managing data, and developing processes, procedures and documentation for reproducibility and efficiency. By the end of the course students will be able to comfortably create datasets, access existing datasets, create variables, clean data, merge data sets, create samples from larger data sets, label data and variables, create and debug code. Students will be exposed to the basics of several statistical packages (Stata, SAS, R, and Tableau). This course is intended for students who have no or minimal experience using statistical software.
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