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Practicum in Applied Statistics: Statistical Computing

This course will introduce the student to statistical programming and simulation using R. Students will first understand variables, data structures, program flow (e.g., conditional execution, looping) and functional programming, then apply these skills to answer interesting statistical questions involving the comparison of groups. Most statistical analysis will be motivated via simulations, rather than mathematical theory. The course content (programming and data analysis) requires significant outside reading and programming.

Course #
APSTA-GE 2352
Credits
1 - 3
Department
Applied Statistics, Social Science, and Humanities

Professors

Marc Scott

Co-Department Chair, Professor of Applied Statistics; Co-Director of PRIISM

marc.scott@nyu.edu