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.
Host Course Code: DU-DATA2284
Host Course Name: Statistical and Predictive Modelling for Analytics
There is no required textbook for this course.
Please note: There may be required software or other resources for this course. Please be sure to check the course outline when you first log in to the course.
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Online Education
Room B2-280