Data Science and Research Methods Using R

Catalog description

This course is designed for graduate students in public health and other disciplines to learn data science and management techniques using the R programming language. Specific topics covered in the course include exploring, cleaning, and manipulating data, data visualization, summarizing and analyzing data using basic applied statistical methods, reproducible workflows in research, and ethical research practices for working with data. The course is designed to guide students with little to no coding experience through beginner and intermediate level data management techniques in R. However, students with previous coding and/or R experience will also find the course helpful in refining their R skills and learning new and more advanced techniques. The course will prepare students for more advanced courses in statistics and epidemiology as well as for research-based projects, thesis projects, dissertations, and jobs/careers that require knowledge of data management and analytical techniques.