FeaturedUdemy
Choice Modeling for Marketing in R
4.8(42)6k studentsADVANCEDEnglish
Korshub's take
The Korshub Take
Choice modeling provides quantitative insights into consumer preference and purchasing decisions. This advanced R course teaches marketers and researchers how to structure choice data and fit statistical models to predict customer decisions, covering both observational choice data and survey-based conjoint analysis.
Who It's For
Quantitative marketers, market researchers, and data scientists looking to design products and evaluate pricing or feature trade-offs using R.
Key Takeaways
- Choice Data Organization: Format and prepare discrete choice and survey datasets for econometric modeling in R.
- Conjoint Analysis: Conduct survey-based conjoint experiments to measure feature preferences and customer willingness to pay.
- Model Estimation & Insights: Estimate choice models to predict market share changes and present actionable product design recommendations.
About this course
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.
Price
Free
Advertisement