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.
This course is part of the Business Analytics Specialization
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About this Course
Skills you will gain
- Predictive Analytics
- Customer Analytics
- Regression Analysis
- Marketing Performance Measurement And Management
Offered by
Syllabus - What you will learn from this course
Introduction to Customer Analytics
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
Reviews
- 5 stars67.81%
- 4 stars24.62%
- 3 stars5.59%
- 2 stars1.23%
- 1 star0.73%
TOP REVIEWS FROM CUSTOMER ANALYTICS
Good intro to the course. Would like it if the course had more use cases or technical skills taught, just so we can use the knowledge learned in real life situations. But the overall course is great!
The material was interesting, current and communicated clearly. However, i did feel that some of the quiz questions were poorly phrased which created confusion. Would certainly recommend it to others.
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.
A fantastic course to start wading into making sense of data and people. Would love to see some more exposure to the processes and approaches (CLV) at a deeper level, but outstanding non the less.
About the Business Analytics Specialization

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