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Customer Analytics, University of Pennsylvania

5,150 个评分
1,148 个审阅


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...


创建者 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.

创建者 SS

Nov 15, 2016

Amazing course for even beginners in the field of customer analytics. Highly recommend to do this course for enhancing the analytical skills. Examples and case studies explains the concept very well.


1,091 个审阅

创建者 Kevin Becker

Dec 14, 2018

very high level and entry information. useful for overall entry into customer analytics but would like deeper dive into CLV and probabilistic predictive modelling.

创建者 Christian Alberto Molfa

Dec 14, 2018

Me pareció muy interesante la informacion, la teoria y los metodos de analisis de clientes.


Dec 13, 2018

This course was beyond my expectations . The content was bang on and the types of examples used for analyzing customer service were up to date and relevant

创建者 Christiane Machado

Dec 13, 2018

Excelent material - good path

创建者 Amenze Emma-Iyamu

Dec 12, 2018

The course provides awesome insight into the world of Customer Analytics.

创建者 Sanket Patil

Dec 12, 2018

lengthy course material

创建者 阮心宇

Dec 12, 2018

a very impressive course

创建者 Ashutosh

Dec 09, 2018

its a great course to start with

创建者 Sourabh Ajit Kamble

Dec 07, 2018

Wonderful Course

创建者 Shailesh Pandey

Dec 04, 2018

Very informative course,Well explained