A two-day intensive course featuring seminars and applied analytical sessions on key concepts, exposure assessment techniques, epidemiologic methods, community engagement/health policy applications, and statistical analytic approaches for conducting solution-driven environmental
A two-day intensive course of seminars and hands-on analytical sessions to provide an approachable and practical overview of concepts, techniques, and data analysis methods used in Bayesian modeling with applications
A two-day workshop for researchers using R, focused on diving into strategies to make research code more efficient, less likely to harbor hidden bugs, and ready to share as a
A two-day intensive combination of seminars and hands-on analytical sessions to provide an overview of the concepts, techniques, packages, data sources, and data analysis methods needed to conduct Mendelian Randomization
A two-day intensive training of seminars and hands-on analytical sessions to provide an overview of environmental mixtures concepts, techniques, and data analysis methods used in health studies. This is an
A two-day intensive course that combines concept-focused seminars with hands-on exercises pairing Python fundamentals with practical data wrangling and analysis. This is an in-person training in NYC. Professionals from any
A two-day workshop focused on skills development in the application of both traditional and machine learning methods in predicting spatial/temporal variations in environmental exposures (e.g., air pollution, temperature, noise) using
Want to explore interest areas and career options to find your best fit among our graduate degree programs and departments? Learn about opportunities for study at the University of Pittsburgh
Want to explore interest areas and career options to find your best fit among our graduate degree programs and departments? Learn about opportunities for study at the University of Pittsburgh
Want to explore interest areas and career options to find your best fit among our graduate degree programs and departments? Learn about opportunities for study at the University of Pittsburgh