Application Deadline: Quantitative Public Health Data Literacy Training

January 22

During February/Black History Month, GrassROOTS Community Foundation and NYU School of Global Public Health will be offering the course for the general public.

Dr. Melody S. Goodman is the Associate Dean for Research and Associate Professor of Biostatistics at New York University School of Global Public Health. Dr. Janice Johnson Dias is an Associate Professor of Sociology at John Jay College and the President of the GrassROOTS Community Foundation, a training organization with an emphasis on public health and social justice.

Drs. Goodman and Johnson Dias have over 10 years of collaborative partnership that is focused on increasing research literacy among non-academic audiences. Their shared aim is to empower community members to be informed and literate partners with social scientists and policymakers so they can advocate for the needs of vulnerable populations. Drs. Goodman and Johnson Dias have co-created and developed several initiatives; the latest collaboration is the Quantitative Public Health Data Literacy Training.

Their goal is to teach the public, particularly those from underserved communities. At the end of this course, students will be literate in data analytics. Students will be able to read, write, interpret, manipulate data, as well as make inferences based on data analysis. We will pay special attention to research ethics.

The 4-week bootcamp is offered free to all students.

This course is perfect for health care students, administrators, educators, policymakers, social media influencers, publicists, journalists, and law enforcement. We highly encourage those who live and work with members of vulnerable populations to apply.

For more about Drs. Goodman and Johnson Dias’ collaborative work on increasing research literacy see:


NYU School of Global Public Health and the GrassROOTS Community Foundation

Quantitative Public Health Data Literacy Training

  • Get real-world data literacy training
  • Explore. Visualize. Model. Make inferences

Each Saturday in February

Online courses: Saturdays from 11:00-1:00EST

Due to the overwhelming number of applicants. We will be closing the application process on January 22th at 9:00pm EST

Applicants will be notified by January 29th