This course covers best practices for survey results analysis and reporting - dealing with missing values, making estimates, combining data from different sources, and selecting the right reporting method to share insights gained through surveys.
By the end of this course, you will become familiar with established statistical methods for converting survey responses to insights that can support marketing decisions. Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling.
University IT Technology Training classes are only available to Stanford University staff, faculty, or students. A valid SUNet ID is needed in order to enroll in a class.