CSI 332 - Data Mining and Business Analytics

Credits 5
This course takes students through the steps of analyzing a business’ need to access and analyze data from multiple data sources. Topics covered include best practices in requirements gathering, data project management, data access issues, data cleanup issues and approaches, ETL (Extract, Transform, and Load) tactics and automation, and various data analysis methodologies. Students will be able to practice overcoming problems with data from non-database sources, like XML, text, or multimedia. *Course is designed to be software vendor neutral. Students whose employer, or potential employer, uses a particular database or Analysis platform, may use that software to complete any class projects.