Prerequisites: MATH 280
The use of analytics is a common practice in modern business settings. This course introduces the basic concept and practice of analytics and its role in business. The emphasis is on the tools and techniques of analytics with case studies and examples. Topics include: data querying and reporting; data access and management; data cleansing; statistical programming; data mining introduction; relational databases; and, statistical analysis of databases. The student is also introduced to Business Intelligence (BI) and statistical methodology (i.e. clustering, decision tree, etc.) along with using popular analytics packages such as SAS, Google Analytics, Business Objects, Aginity, and others.