Statistical Computing at Johns Hopkins Bloomberg School of Public Health

Excerpt from course site: This course covers advanced statistical computing programming paradigms and workflows required for the research and application of statistical methods. Includes the basics of programming in unix and/or using command-line tools, introduction to version control, advanced R and tidyverse skills, introduction to creating R packages with documentation, working with relational databases, introduction to functional programming, getting and using data from APIs, introduction to Shiny and dashboards. Topics in statistical data analysis provide working examples.

Link to site here: https://www.stephaniehicks.com/jhustatcomputing2022/
Link to courses repo here: https://github.com/stephaniehicks/jhustatprogramming2022