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CIS 2269 Data Analytics Theory & Solutions

An introduction to business intelligence, data analysis, data warehousing, data mining theory and tools, and how to structure the data and prepare reports in a way that is meaningful to business users. Emphasis is placed upon understanding business intelligence techniques to construct and use business intelligence solutions for decision support.

Division: Business and Public Services
Department: Computer Science and Information Technology
Repeatable Credit: No
Offered Online: Yes

Prereqs: MAT 1450 or MAT 2170 and CIS 2165 


  • Develop a software statistical modeling project and present the solution.
  • Describe the business intelligence methodology and concepts and relate them to decision support. Define and describe the components and architecture of business analytics, the benefits and application.
  • Describe data mining and develop a data mining project. Describe how online analytical processing, data visualization, and multidimensionality can improve decisions.
  • Explain data warehousing architectures, processes and operations.
  • Define and describe business performance management including scorecards, Six Sigma and dashboards.

Credit Hours: 3

Classroom Hours: 3