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Business Analytics
Description: An overview of data warehousing techniques and processes including theoretical understanding of the capabilities and uses of business data warehouses, structure and creation of data warehouses, and the design and use of the ETL (Extract, Transform and Load) database population process. Data warehousing techniques for a number of different areas such as accounting, marketing, and economics may be explored. Co-convened with BAN 445. Letter grade only.
Units: 3
Sections offered: Spring 2024 Summer 2024 Fall 2024
Prerequisite: Admission to Business Analytics GCRT, Business Analytics MS, Business Administration MBA, Informatics and Computing PhD, Informatics MS, Computer Science MS, or Electrical Engineering MS
Business Analytics
Term : Spring 2024
Catalog Year : 2023-2024
BAN 545 - Data Warehousing For Business Analytics
Description: An overview of data warehousing techniques and processes including theoretical understanding of the capabilities and uses of business data warehouses, structure and creation of data warehouses, and the design and use of the ETL (Extract, Transform and Load) database population process. Data warehousing techniques for a number of different areas such as accounting, marketing, and economics may be explored. Co-convened with BAN 445. Letter grade only.
Units: 3
Sections offered: Spring 2024 Summer 2024 Fall 2024
Prerequisite: Admission to Business Analytics GCRT, Business Analytics MS, Business Administration MBA, Informatics and Computing PhD, Informatics MS, Computer Science MS, or Electrical Engineering MS