Data Mining and Business Intelligence

Brief Course Description:

The course introduces students to concepts behind data mining, text mining, web mining and business intelligence. It investigates various applications, methodologies, techniques, and models behind data mining and business intelligence.

Course Objectives:

The objectives of the course are to:

• Introduce students to underlying concepts of data mining, text mining, web mining and business intelligence.

• Introduce students to applications, methodologies, techniques and models behind data mining and business intelligence.

• Introduce students to major issues and applications in business intelligence and data mining, including a basic grasp of the algorithm classes and best practices for building successful BI projects.

Expected Course Outcomes:

Upon successful completion of the course, students will be able to:

• Explain concepts behind data mining, text mining, web mining and business intelligence.

• Use existing data retrieval and manipulation tools for data/information extraction.

• Understand how and when data mining can be used as a problem-solving technique.

• Describe different methods of data mining.

• Select an appropriate data mining technique for a specific problem.

• Use existing data mining software to mine a prepared data set.

• Examine the concepts of data warehousing and OLAP.

• Apply the concepts of BI and DM techniques for clustering, association, and classification.

• Understand the operation procedures of BI projects in an organization.

• Select appropriate DM tools and methods to manipulate and achieve data.

• Apply DM concepts for formulating business strategies and programs to enhance business intelligence.