Interested in teaching your own course?
Whether you have expertise in data analysis, statistical methods, epidemiology, or other public health subject areas, we'd love to hear from you. Share your knowledge and help shape the next generation of public health professionals. We welcome data-related topics as well as topics beyond data analytics.
Current Trainings
Regardless of where you are on your data journey, we have a training for you! Check out our current offerings.
Our public courses are pre-designed, immersive hands-on learning experiences that combine expert instruction with working sessions. Most of our courses utilize publicly available, real-world data. Our subject matter experts have intimate knowledge of the data and will share with you how they have used it in their day-to-day roles.
If you want a course developed with your own data or want trainings for your organization, contact us for private trainings!
Excel Mastery
Master Excel's advanced analytical capabilities for data. Learn Power Query, PivotTables, data validation, and dashboard creation. Perfect for those yet to grasp everything Excel has to offer.
QGIS Mapmaking
Create health maps to reveal geographic patterns in human outcomes and resource allocation. Learn to overlay data layers, analyze geographic clustering, and communicate spatial information effectively for policy development.
QGIS Spatial Analyses
Develop practical skills in spatial data analysis for real-world geographic problems. Learn GIS fundamentals, spatial statistics, and cartographic design through hands-on exercises.
SQL Basics
Learn essential database skills to access large-scale data repositories. Master query syntax, table joins, and data aggregation using public health contexts like electronic health records and surveillance databases.
Intro to R Shiny
Build interactive web dashboards without web development experience. Create dynamic visualizations and advanced analyses for your stakeholders. Publish your app on Posit Connect.
Automate your Analytics with R
Eliminate repetitive data tasks with R automation. Learn scheduled imports, automated reporting, and parameterized analyses to create reproducible workflows that save time and reduce errors.
Intro to Python and Jupyter
Learn Python basics while analyzing real public health datasets. Covers data importing, statistical operations, and visualization for epidemiology and program evaluation.
Intro to Tableau
Create powerful interactive visualizations with Tableau's intuitive interface. Learn to import real-world datasets, build charts, and create dashboards. Option to publish on Tableau Public for your portfolio.
Intro to R with Tidyverse
Begin your R journey here! We'll cover base R, RStudio (Posit). We will also focus on the Tidyverse packages so you can create interactive visualizations that reveal patterns in data and make complex statistics accessible.
Data Viz Fundamentals
Develop critical thinking skills for impactful data visualization. Learn best practices, avoid common pitfalls, and address ethical considerations when presenting sensitive health information to diverse audiences.
Intro to Power BI
Transform into a confident Power BI user in four days. Learn data modeling, dashboard creation, and report generation using a real-world health dataset. Build compelling visual reports for stakeholders.
AI Basics
Learn about large language models, Retrieval-Augmented Generation (RAG). Explore generative AI use cases: chat with your documents and data. Build a prototype that answers questions using your organization's documentation.
