This course will build on the learnings from the Statistical and Predictive Modelling I course and cover more advanced concepts such as regression analysis, clustering algorithms, conjoint measurement, and decision tree analysis. Students will be able to integrate and calibrate these model structures for evaluation and implementation purposes.
If you have any questions about our online programs, the courses offered, the registration process, or any other Online Education related questions, reach out to us. For technical issues, visit our Technical Support page.
Online Education
Room B2-280