Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. In this course, four of Wharton’s top marketing professors will provide an overview of key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices including Amazon, Google, and Starbucks to name a few. This course provides an overview of the field of analytics so that you can make informed business decisions. It is an introduction to the theory of customer analytics, and is not intended to prepare learners to perform customer analytics.
Eric BradlowProfessor of Marketing, Statistics, and Education, Chairperson, Wharton Marketing Department, Vice Dean and Director, Wharton Doctoral Program, Co-Director, Wharton Customer Analytics Initiative
Peter FaderProfessor of Marketing and Co-Director of the Wharton Customer Analytics Initiative
- 5 stars67.82%
- 4 stars24.63%
- 3 stars5.60%
- 2 stars1.20%
- 1 star0.72%
This was my first course on coursera and i think it was definitely worth spending time. This was my first step towards analytics and this course has helped me gain insights about customer analytics.
Bastante interesante, especialmente cuando se ven las aplicaciones reales que existen de diferentes marcas a nivel mundial. Me gusto mucho para ser mi primer curso y pocas cosas malas que decir de el.
I enjoyed the content. Some of the professors were more concise than others. I would prefer more slides that watching professors talk. I am looking forward to the other classes in this specialization.
Though I have worked on Customer Analytics with my previous work experiences and also on Surveys etc at George Brown College Canada, this module was more than insightful. Lots of learning to learn eh!