New York University 2 credits Global Public Health
R is one of the most popular languages in statistics and data science. This course is the follow-up of GPH-GU 2183 Introduction to Statistical programming in R, and covers intermediate R programming topics that include organizing and modifying data, operating on various data object types, creating functions and iterations for statistical simulations, and writing high-quality reports with R Markdown. The course will focus on public health datasets as illustrations to best meet the practical needs of CGPH students but is also open to those of other backgrounds. By the end of the course, students will be able to comfortably program in R for effective data preprocessing, analysis and presentation. This course serves as a good preparation for courses in biostatistics, epidemiology, and data science. Prerequisites: GPH-GU 2183.
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