A two-day intensive course including seminars and hands-on coding sessions that teaches attendees to build interactive web applications in R using the Shiny package. This training is offered in NYC.
Shiny Boot Camp
Tag: In-Person
The Exposome Boot Camp
A two-day intensive boot camp of seminars and hands-on analytical sessions to provide an overview of concepts, techniques, and data analysis methods used in studies of the exposome. This training
Environmental Justice Boot Camp
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
Bayesian Modeling for Environmental Health Workshop
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
Code Rigor And Reproducibility With R Boot Camp
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
Mendelian Randomization Boot Camp
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
Environmental Mixtures Workshop
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
Python Data Wrangling Boot Camp
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
Exposure Modeling Boot Camp
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
Pitt Public Health Info Session For Graduate Programs (In Person)
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