Course Marketing Analytics in R: Choice Modeling
Learn to analyze and model customer choice data in R.
This online course about Marketing Analytics in R: Choice Modeling covers a key part of what a future data analyst would require.
People make choices everyday. They choose products like orange juice or a car, decide who to vote for, and choose how to get to work. Marketers, retailers, product designers, political scientists, transportation planners, sociologists, and many others want to understand what drives these choices. Choice models predict what people will choose as a function of the features of the options available and can be used to make important product design decisions. This course will teach you how to organize choice data, estimate choice models in R and present findings. This course covers both analyses of observed real-world choices and the survey-based approach called conjoint analysis.
Enroll now in this Marketing Analytics in R: Choice Modeling course, and don’t miss the opportunity of learning with the best, as Elea McDonnell Feit is. With 54 enriching exercises, 17 videos, and an estimated time of 4 hours to successfully end up the course, you will become one of the best.
Elea McDonnell Feit
Assistant Professor of Marketing at Drexel University
Elea is a marketing professor at Drexel University and a Senior Fellow of Wharton Customer Analytics. She uses analytics to understand people so that companies can make better decisions. She enjoys making analytics accessible to marketers and co-wrote R for Marketing Research and Analytics. Her husband has a much cooler job working on data acquisition systems for race cars and, sadly, she has not convinced him to use R.