ST556 - Statistical Programming II
- Prerequisites: None
- Term & Frequency: Spring and Summer II
- Student Audience: Graduate students seeking advanced SAS skills and certification.
- Credit: 3 credits
- Recent Texts: None
- Recent Instructors: Jason Osborne
- Background and Goals: Computing skills have become increasingly important in our graduate curriculum in Statistics. There is an
increased need to train students to handle the scale and scope of the data facing modern statisticians.
Students must know how to read data from a variety of sources and in a variety of formats, validate
the data for errors, manipulate the data in meaningful ways, subset and group data, merge/append data sets,
and process data in and automated fashion to produce summary reports and to export the
data for statistical analysis.
- Content: Statistical procedures for importing/managing complex data structures using SQL, automated analysis using macro
programming, basic simulation methods and text parsing/analysis procedures. Students learn SAS, the industry standard for
statistical practice. Regular access to a computer for homework and class exercises is required.
- Alternatives: None
- Subsequent Courses: None
S1 2017 Sections:
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