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.
Prerequisites: CIS 2165 and MAT 2170
- 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: 3 hours
- Division: Business and Public Services
- Department: Computer Science and Information Technology
- Repeatable Credit: No
- Offered Online: No
Not currently offered this term