3 credits
Fall 2026 Distance Learning Upper Division
Students learn decision strategies as well as Big Data and data analytics concepts using statistical inference, regression, predictive analytics, and data mining. Students will have "hands-on" opportunities using tools such as R to assist in these efforts. The primary mission of this course is to provide students 1) an awareness of the primary approaches, techniques, and tools used for business/data analytics in industry, 2) opportunities to see their applications in a variety of areas, and 3) practical experience in applying them to challenges of interest to the students. Of primary emphases are the roles and responsibilities of Information Technology in enabling and supporting data analytics in organizations. Upon successful completion of this course, students will be able to understand key business/data analytics concepts and apply analytics approaches, techniques, and tools for decision making purposes. Permission of instructor required.
Learning Outcomes1Research and analyze key business/data analytics concepts.
2Apply analytics approaches, techniques, and tools for decision making purposes.
3Recognize the roles and responsibilities of Information Technology in enabling and supporting data analytics in organizations.
Restrictions
made by Purdue students.