Data Literacy Training Summer 2020

Because of the COVID-19 pandemic, presentation of public health data to the public has increased without much of the public having the knowledge to understand what these statistics mean or why some populations are at higher risk of adverse outcomes. Recognizing that those most impacted by COVID-19 are from vulnerable populations, we developed a training program called "The quantitative public health data literacy training program", aimed at increasing the data literacy of towards high school and college students from such vulnerable groups that introduces the basics of public health, data literacy, statistical software, descriptive statistics, and data ethics. <br><br>The instructors taught eight synchronous sessions (five were also offered asynchronously), consisting of lectures and experiential group exercises. The program recruited, engaged, and retained a large cohort (n &gt; 100) of underrepresented students in biostatistics and data science for a virtual data literacy training. The course provides a framework for developing and implementing similar public health training programs designed to increase diversity in the field.<br><br>This project provides de-identified data for program's baseline/final assessment , program feedback as well as grades for certain portion of the program. The "Data-files" folder contains all the data collected during program. Along with the deidentified data, code is also provided (in R language) to analyze the data as presented in tables in potential publications. <br><br><br>