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Learner Reviews & Feedback for Customer Analytics by University of Pennsylvania

4.6
stars
11,890 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 provid...
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Top reviews

ND

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!

AA

Apr 5, 2017

Perfect Course for those who want to inquire insight and knowledge of how tons of data that we generate in our day to day life is being utilized by big organizations in optimizing their productivity.

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2376 - 2400 of 2,536 Reviews for Customer Analytics

By Abhinav A

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Nov 9, 2017

Focuses more on what is there in Customer analytics than how is analytics done.

By Anuradha G

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Aug 7, 2022

Some of the models and statistics should have been given in depth explanation.

By Erika C

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Aug 28, 2020

Good theory, zero practice or info on how to build, run regression or models.

By Sandeep K

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Oct 25, 2021

Too much theoritical and could have concentrated more on the regression part

By Heidhee A V

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Jul 30, 2021

I find week 5 topics most interesting as I learn actual application samples.

By Ch F

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Mar 22, 2020

Good overview course but some information is too topline & already outdated.

By Yuduan L

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Oct 28, 2015

The course structure is good. If there is more real cases, it would be good.

By Raoul G

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Oct 13, 2015

Very much bird eye view. Not a lot of detail. A lot of obvious statements.

By Nicki R

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May 3, 2019

Some parts were heavy in math, but without explanation. Otherwise, great!

By PRABHAT K

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Sep 25, 2016

Including a few calculations will help in understanding the core concepts

By Daniel C

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Oct 29, 2015

Some errors on video of prescriptive analytics. Not so practical course.

By Anoop V

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May 22, 2016

Expected to do some hands-on exercises on data sets to derive insights.

By Anubhav S

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Apr 18, 2020

The course could have given more insights on the current age examples.

By fallon c

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Oct 8, 2019

It seemed very high level. No details, no formulas, no technical info.

By Danyal R

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Aug 19, 2017

Some lecture weren't up to the mark or it was difficult to understand.

By Dominik S

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Jun 25, 2023

It is quite alright. It would need a facelift and some more exercises

By VINODH K

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Oct 12, 2016

practical example are need to visualize the current market situations

By Maria G

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Aug 10, 2016

El contenido del curso es interesante pero la participación es mínima

By Krishna C

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Jan 4, 2016

Course is good.But it would have been great with some data exercises.

By Ravi K

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May 16, 2017

It was full of theory. I am looking at propensity models application

By Archana y

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Apr 10, 2021

Course is very old and not up to date with current market scenarios

By Claudio S

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Apr 16, 2020

Good understanding of basic concept but to less real valuable skill

By abdul b

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Mar 8, 2016

Can be improved, predictive analytic s section was missing details

By Richard T

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Jan 8, 2016

Good introduction to analytics. Short. Not particularly demanding.

By Shankar S

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May 24, 2020

Very basic. But pretty decent for an introduction into the topic.