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Customer Analytics

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.

Created by University of Pennsylvania


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What you’ll learn


In this learning resource you will improve the compentencies demanded by organizations these days. The most relevant technique in the educational opportunity that is often mentioned by companies is Data Analysis. You will also hear about Communication Skills, a trait often requested in job postings.

Who will benefit?


Comparing content from this learning resource with nearly 10,000 data-related job descriptions, we determine that those interested in Data Scientist roles have the most to gain.