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Introduces students to popular tools used for advanced statistics and predictive/textual analytics, as well as frameworks for handling unstructured data. Current packages may include such tools as SAS, Python, SPSS Data Modeler, and Apache Hadoop. These may change with technology trends. Students will have access to software available in the Golden Gate University computer network for assignments and projects. Class activities will focus on learning programming logic to produce routines, working with temporary and permanent files, using built-in procedures and functions, and producing simple and complex reports. Students completing this course will have a strong exposure to data analytics in the business environment
Prerequisite: Math 240, Units: 3 , Offered: Spring 2017