Mine Çetinkaya-Rundel|Colin Rundel
Infrastructure and Tools for Teaching Computing Throughout the Statistical Curriculum
Duke University
modern statistics fundamentally computational discipline often fact reflected statistics curricula rise big data data science become increasingly clear students want expect need explicit training area discipline additionally recent curricular guidelines clearly state working data requires extensive computing skills statistics students fluent accessing manipulating analyzing modeling professional statistical analysis software much written statistics education literature pedagogical tools approaches provide practical computational foundation students article discusses computational infrastructure toolkit choices allow pedagogical innovations minimizing frustration improving adoption students instructors supplementary materials article available online