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 stars67.83%
- 4 stars24.63%
- 3 stars5.60%
- 2 stars1.20%
- 1 star0.72%
Perfect Course for those who want to inquire insight and knowledge of how tons of data that we generate in our day to day life is being utilized by big organizations in optimizing their productivity.
Fantastic course. The instructors were great, the real world examples were very interesting, and the course materials were relevant to the daily tasks I face as a Data & Customer Insights Analyst.
Excellent for learning different types of analytics, the different tools, learning which type of analytics and tool to use in a specific situation. Furthermore how to implement analytics in business
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.