Spreadsheets are still useful, but if you do a lot of work with numbers, you'll realize that they have limitations.

Interoperability difficulties resulting from discrepancies in preferred programming languages can be resolved via statistical computing environments. In the biomedical and pharmaceutical industries, ...

The life sciences industry is witnessing a fundamental shift-one that is driven not just by data, but by intelligent automation. Having spent over 17 years working at the intersection of clinical ...

Statistical programming language R has climbed back up to 8th place in Tiobe's latest programming language popularity index, just behind JavaScript and up from 20th position last July. In May, when R ...

American Journal of Agricultural Economics, Vol. 79, No. 4 (Nov., 1997), pp. 1352-1362 (11 pages) This paper uses resampling estimation techniques to develop a statistical mathematical programming ...

University of Delaware alumnus Yunjiao Cai believes data science has the biggest potential to effectively solve many of the world’s pressing challenges. And, at the core of data science, lies ...

An introduction to creation and manipulation of databases and statistical analysis using SAS software. SAS is widely used in the pharmaceutical industry, medical research and other areas. Cannot be ...

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 statisticians in industry, ...

Environmental data scientists use computing and mathematics to develop sustainable solutions for environmental problems. Environmental data scientists balance and combine expertise from multiple ...