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顧客分析 に戻る

顧客分析, ペンシルベニア大学(University of Pennsylvania)



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. Course Learning Outcomes: After completing the course learners will be able to... Describe the major methods of customer data collection used by companies and understand how this data can inform business decisions Describe the main tools used to predict customer behavior and identify the appropriate uses for each tool Communicate key ideas about customer analytics and how the field informs business decisions Communicate the history of customer analytics and latest best practices at top firms...


by ND

Jan 31, 2019

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!

by AV

Sep 11, 2016

I really enjoyed the class. Analytics are such an important part of today's understanding of the customer but have other uses even beyond that. Professor Fader has really great insight on the subect.



by Belen Fabregas

May 24, 2019

Clear explanations of customer analytics, incredible support documentation and examples.

by Chui Chun Fung

May 24, 2019

Excellent with many practical real life examples to explain the concept.


May 24, 2019

Professor Bradlow was amazing. I'm going to remember most of his stuff.

by Sourabh Choudhary

May 24, 2019

A good course to go for to learn about analytics and its usability

by Nikhil Sharma

May 24, 2019

Eye opener.

by Mayank Dabhi

May 22, 2019

More Technical Details will help to understand the theory part what we just learned


May 20, 2019

It was optimal enough with a lot of exploratory and descriptive data explored over causality with high prediction to lower churn rates of application.

by Ha Dinh

May 20, 2019

For someone who is new to this field and doesn't have a background in marketing, this course has helped me tremendously to understand the key concept of using data and models in making decision. Hopefully this new knowledge will become an advantage for enhancing my future career in data analytics.

by Anjan

May 19, 2019

great course methodology and content.

loved it.

by Ayrton Chavez

May 17, 2019

Great Content! Would be nice if we could get more of the technical material.