Course Description
Business Intelligence (BI) and analytics are used to support decision making and enhance organization performance. Students learn concepts and terminology, various kinds of applications, how to build and use the BI and analytics infrastructure, and different data access and analysis tools. Learning is supported by software projects and assignments and case studies.
Athena Title
Bus Intelligence and Analytics
Prerequisite
Permission of department
Semester Course Offered
Offered every year.
Grading System
A - F (Traditional)
Course Objectives
1. Be familiar with BI and analytics concepts and terminology 2. Know how to develop BI and analytics applications 3. Be able to use a variety of BI and analytics tools 4. Know how to implement BI and analytics enterprise-wide 5. Understand the business value and uses of BI and analytics
Topical Outline
The differences between transactional and analytics applications The evolution of decision support applications – SQL, reports, DSS, EIS, OLAP Dashboards and scorecards Data visualization BI and analytics software Data marts, warehouses, and lakes BI and analytics software Predictive analytics Big data analytics Prescriptive analytics – simulation and mathematical programming Artificial intelligence Algorithmic transparency Hands-on software assignments and projects Case studies
Syllabus