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Activity Details


CE_19C Mon, 8/5/2013, 1:00 PM - 5:00 PM W-Palais
Practical Software Engineering for Statisticians — Continuing Education Course
ASA , Section on Statistical Computing , Biometrics Section
Instructor(s): Murray Stokely, Google
Statisticians are increasingly being employed alongside software engineers to make sense of the large amounts of data collected in modern e-commerce, internet, retail, and advertising companies. This course introduces a number of best practices in writing statistical software that is taught to computer scientists, but which is seldom part of a statistics degree. Revision control tools, unit testing, code modularity, structure, and readability, and the basics of computer architecture and performance will be covered. A few examples of real R code written in a commercial environment will be shared and discussed to illustrate some of the problems of moving from working alone or in a small group in an academic setting into a team in a large commercial setting. Some basic familiarity with programming is required. The course is language-agnostic, but R will be used in some examples.



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