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Learner Reviews & Feedback for Customer Analytics by University of Pennsylvania

11,271 ratings

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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1951 - 1975 of 2,404 Reviews for Customer Analytics

By Nikhil C

Jun 5, 2020

Predictive modelling seemed a bit the course was good

By Cole V

Nov 24, 2019

The third week's quiz did not match up well to the lecture material.

By Risa H

Dec 24, 2017

I would like to see more participating on the forum from professors.

By Shijin T

Nov 14, 2016

Great course to understand the basics concepts of customer analytics

By Sai A R

Oct 25, 2015

The examples of application of marketing analytics was mind-blowing!

By Jordan E

Sep 2, 2020

Good course. would prefer some side notes in addition to the slides

By Nate W

Aug 10, 2017

Peter is an amazing teacher not so much for the professor in WEEK 4

By Tyler K

Nov 1, 2020

I enjoyed the course. I wish there were more hands on practicing.

By rakshit k

Feb 13, 2019

the mentors are all good but they are too fast with their lessons.

By Fernando A

Dec 16, 2017

Enfocado completamente en teoría, hace falta ejercicios/ practica

By dimpy j

Feb 17, 2017

The course was very helpful and the lectures covered all my doubts

By Lucia G

Aug 13, 2016

I would like to learn more of the math behind the analytics.


By Jane L

Feb 1, 2016

The application and case studies segment was the most interesting.

By Oleksandr C

Oct 16, 2015

As intro very good, however I have not seen any practical examples

By Patrick S

Jan 4, 2021

this course provides the very basic, and end-user needs to know.

By Charmaine N

Aug 23, 2020

Setback is the inability to review test content and self correct


Aug 31, 2019

maybe a few more cases with modelling could have been provided.


Dec 28, 2016

Very interesting.. makes you think and read/study the material.


Jan 7, 2023

great content with some of the latest & leading case examples!

By Mahdi J

Dec 1, 2018

It was a good introductory course to begin your journey with .

By Madhu M

May 13, 2018

The course content is very good, but it doesn't go into depth.

By Jason G

May 22, 2017

Great course! Only thing missing was more hands-on exercises.

By Priyanka

Oct 24, 2016

Content was good but I wanted hands on experience with excel.

By Venkatesh G

Apr 2, 2016

Clear lectures. Little theoretical hence needs more attention.

By Sean F

Jul 14, 2020

Gives good baseline knowledge for understanding your customer