This course provides students with an understanding of data extraction and interpretation and their roles in creating business value. Topics covered include data quality, data visualization and exploration, and data structures and information policies as well as descriptive, predictive and prescriptive model creation and testing. The course covers a variety of tools used for data analysis and gives the student an understanding of how to obtain, manipulate and interpret data using current software and techniques.
Prerequisite: ISM 4545.
Terms Typically Offered: Fall, Spring, Summer
Textbook information will be available online for each term's courses 45 days prior to the first day of classes
for the term.
The courses in this catalog are identified by prefixes and numbers that were assigned by Florida's Statewide
Course Numbering System, a system used by all public postsecondary institutions in Florida and 32 non-public
institutions. Seminole State controls the description, credit and content of its own courses.