This course is designed to provide students the fundamental skills for effective statistical programming. Students will learn to use R (a statistical programming language) for data manipulation, summarization and analysis. Topics will include programming syntax and data structures, generation of scientific graphics, writing functions, debugging and testing, programming paradigms, simulation and optimization. Students will also be introduced to LaTeX, Markdown and knitr for report writing, version control using Git, and basic SQL programming.
Prerequisites: Some introductory undergraduate statistics or permission of instructor.
Cole Beck, BSc, Senior Application Developer
Chris Fonnesbeck, PhD, Assistant Professor of Biostatistics
TA: Nick Strayer, PhD Student, Biostatistics
Room 11105, 11th floor, 2525 West End Avenue
Free DataCamp access available for students of course thanks to DataCamp’s education initiatives.