DA 320 Data Acquisition and Management • 5 Cr.
Learn core concepts of data collection and its management. Topics include collecting data ethically from different sources, assessing data quality, learning techniques to clean, process, and store the data while maintaining privacy and security. Students will research real world examples, using common statistical software and produce reports and presentations. Prerequisite: DA 310 with a C or better, or permission of the instructor.
After completing this class, students should be able to:
Describe types of data collection methods. Evaluate types of data and sources. Assess data quality and implications. Set up, compare and evaluate methods to prepare raw data for business problems. Apply statistical software, such as Excel, SAS or R to collect appropriate data source and appropriate amount of data. Relate and apply fundamental principles in data mining. Apply appropriate techniques to clean, process, combine, store and maintain data. Discuss ethical and security concerns in data collection and storage