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Sinclair College

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: MAT 1450 or MAT 2170 and CIS 2165

Course Outcomes
  • 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: Yes
Available Sections
Face to Face
Downtown Dayton Campus
Bldg 5, Rm 043
Faculty: Konsdorf
Term: Spring 2024
Format: Course meets in person on scheduled days and times.
Course Fee: $15.00
Open Seats: 20
Meets: T from 6:00PM to 8:40PM
Section: N02
Open Seats: 20
Meets: T from
6:00PM to 8:40PM
Section: N02