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Learner Reviews & Feedback for Customer Analytics by University of Pennsylvania

9,866 ratings
2,184 reviews

About the Course

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...

Top reviews

Aug 4, 2020

This course includes a comprehensive overview of the all the basic models that are used to analyze data concerning customer behavior. The real-life examples made it easier to relate to those theories.

Jan 30, 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!

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1851 - 1875 of 2,122 Reviews for Customer Analytics

By Yu Y

Jul 11, 2020

too theretical

By Ons M S A M

May 30, 2019

Great Insight

By Oluwadamilola A

Sep 20, 2017

Great course!

By akram

Nov 4, 2016

Great courtse

By Manojkumar P

Dec 28, 2015

Nice course.

By Nguyen P H

Sep 17, 2015

Great course


Apr 30, 2020


By Arnab G

Jun 9, 2018

good course

By Robert B C

Sep 29, 2015

Good course

By Cesar E G M

May 13, 2020

Buen curso

By Khurram S K

Mar 26, 2016


By Gourav S

Aug 8, 2019

Good one


Sep 9, 2020


By Joshua S

Apr 29, 2019


By Nazatul A B A R

Nov 4, 2016


By Alvin L

Mar 16, 2016


By waseem s

May 1, 2020


By yash

Apr 28, 2020


By 马雨禾

Nov 17, 2019


By Yash D

Jun 1, 2019


By thulasiram .

Sep 11, 2016


By Venkatesh C

Mar 2, 2016


By HymaPrashanthi

Jan 16, 2018


By Govind R A

Aug 1, 2017


By Hemant M

Jun 10, 2020

It was a good hands on basic Introduction for Customer analytics. However The introduction of descriptive,predictive and prescriptive analytics was mixed with marketing so the amount of time that could be dedicated to marketing was dedicated to introducing analytics. This course was more general knowledge and E-Commerce rather than marketing. I wanted the course to be more specific: How marketing theories help in building predictive models and What a marketing analyst knows that other data analysts don't know. If you are an absolute beginner in analytics, give it a try. Otherwise it may be too simple for you.