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 stars67.82%
- 4 stars24.61%
- 3 stars5.58%
- 2 stars1.23%
- 1 star0.73%
TOP REVIEWS FROM CUSTOMER ANALYTICS
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.
The course is very useful and opened a whole new set of interests for me. I'll keep learning and digging into customer analytics for sure, I can see it's a very valuable set of skills and knowledge.
Excellent couse on "Customer Analytics", my first ever. Excellent teaching quality and the video-lectures are with the Wharton stamp. I am excited to complete the "Business Analytics Specialization".
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.
About the Business Analytics Specialization

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