Leadership in statistical programming is about more than managing deliverables—it’s about inspiring teams and exceeding client expectations.

Statistics, Master of Science Our Master of Science in Statistics program is designed to give students a solid foundation in applied and theoretical statistics, enabling them to prepare for careers as ...

There's no clear agreement about what's behind statistical programming language R's recent apparent rise.

Course Objectives: To learn practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and ...

Our online master’s degree programs give you access to outstanding faculty and top-quality curriculum in a convenient, flexible format. The program is designed for working professionals and will teach ...

Martin Mächler has worked at the Seminar for Statistics for 30 years. During this time, he has conducted pioneering work: Mächler is the co-inventor of the R statistics programming language.

Program Prerequisites Entry into the Data Science MS program assumes basic knowledge in statistical and mathematical techniques, computer programming, information systems and databases, and ...

The R programming language is quickly gaining popular ground against the traditional statistics packages such as SPSS, SAS and MATLAB, at least according to one data statistician who teaches the ...

Richard Bellman, Robert Kalaba, Dynamic Programming and Statistical Communication Theory, Proceedings of the National Academy of Sciences of the United States of America, Vol. 43, No. 8 (Aug. 15, 1957 ...