Modern businesses can benefit from analyzing information stored within datasets. Predictive analytics is one form of analysis that aims to discover trends or patterns within datasets so that the mathematical relationships that are found can be used to make proactive, future-based, data-driven decisions. Predictive analytics is an important field of study because the techniques that are utilized can find complex relationships that experts overlook or simply do not know during the time of the analysis. This course covers a variety of predictive analytics techniques and theories from the viewpoint of various business applications. In order to achieve the course learning objectives, students will utilize major software tools that are commonly used in business to develop, test, and apply continuous, classification, and clustering models.
Semester: N/A
Year offered: 2023