Full course description
Level: Intermediate
Track: Both analyst & non-analyst tracks available.
Courses targeted to analysts focus learning new approaches for managing and analyzing data in statistical software such as R or SAS, or learning version control procedures using git. Courses targeted to non-analysts are more conceptual in nature and do not involve in-depth programming.
Intended audience: Those who want to develop practical skills using R to manage and analyze public health data.
Overview
This course is designed to equip public health professionals with the principles and methods underpinning the use of R, with a strong emphasis on its application in multi-disciplinary, collaborative, and real-world public health settings. Participants will learn practical data management techniques, such as working with data frames, importing and exporting data, troubleshooting common issues, and preparing messy data for analysis or presentation. Through instructional videos and interactive activities, participants will gain confidence in applying R in a public health context, enhancing their data analysis capabilities and contributing to informed public health decision-making.
Time commitment: 1.5 hours for dissemination certificate, 1.5 hours for functions certificate, 5 hours for visualization certificate, and 15 hours for data management certificate
Certificates: This course offers four certificates. Enrollees can earn multiple certificates, based on their training needs.