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Learner Reviews & Feedback for Customer Analytics by University of Pennsylvania

4.6
stars
11,670 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

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

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.

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2351 - 2375 of 2,496 Reviews for Customer Analytics

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.

By Ricardo S

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Oct 11, 2015

It will be better to have some data to practice on regressions!!

By Alejandro S

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May 7, 2019

Outdated information, but still learned data analytic insights.

By Erica C M

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Feb 25, 2018

I belive it was too basic and superficial on analytics matters.

By Astha A

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May 2, 2020

Some coonection or flow was missing! I expected a lit more!!!1

By sakshi l

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Apr 26, 2018

Need practical knowledge on how to use models for prediction

By Juhong P

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Jan 1, 2020

It is more difficult than I thought. Really helpful though.

By 张婧仪

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Mar 4, 2018

Too much information that is not integrated nor systematic.

By robert k

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Feb 7, 2016

Basic review for those with some familiarity on the topic.

By Ankit A

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May 18, 2018

Could have been more detailed into mathematics and models