Choice Modeling for Marketing in R

Yes, DataCamp provides completion certificates for all of our courses.

This course is beneficial for marketers, retailers, product designers, political scientists, transportation planners, sociologists and anyone with an interest in understanding what drives customer choices.

You can use several alternative formats of data for this course and learn how to get it into shape for choice modeling. Additionally, this course will assist with how to construct a survey to collect choice data.

This course includes an overview of what can be done with choice models, managing and summarizing choice data, building choice models, and hierarchical choice models.

A multinomial logit model is a commonly-used choice model that convert the product features into a prediction for what a decision maker will choose.

This course provides a framework for making decisions about which features to include in your model by examining how the multinomial logit model produces a prediction for what a decision maker will choose based on the features of the product.

Hierarchical models are used to recognize that different consumers have different preferences or tastes and influencer their choices. They also make larger share predictions for niche products that appeal to a subset of consumers.