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STAT 4279: Statistical Computing for Data Analysis

(Dual-listed with STAT 5279).
Credits: 3. Contact Hours: Lecture 3.

Prereq: STAT 3010, STAT 3260, or STAT 5101
Modern statistical computing. Topics may include: basic and advanced R programming; data management; spread sheets; verifying data accuracy; transferring data between software packages; data and graphical analysis with statistical software packages; algorithmic programming concepts and applications; simulation studies and resampling methods; software reliability; statistical modeling and machine learning. Graduation Restriction: May not be used for graduate credit in the Statistics MS and PhD degree programs. (Typically Offered: Spring)

Statistics

https://catalog.iastate.edu/collegeofliberalartsandsciences/statistics/
The curriculum in liberal arts and sciences with a major in statistics is designed to prepare students for (1) statistics positions in business, industry or commerce, nonprofit institutions, and in state or federal government; and (2) graduate study in statistics. Positions include the following types of work: statistical design, data visualization, analysis and interpretation of experiments and surveys; data processing and analysis using modern computation facilities and statistical computing systems; application of statistical principles and methods in commercial areas such as finance, insurance, industrial research, technology, marketing, manufacturing, sports analytics, quality control, and nonprofit organizations, such as institutions involved in health care or medical research.