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Learner Reviews & Feedback for Customer Analytics by University of Pennsylvania

4.6
stars
7,605 ratings
1,617 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

ND

Jan 31, 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 06, 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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1476 - 1500 of 1,565 Reviews for Customer Analytics

By Krishna C

Jan 04, 2016

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

By Ravi K

May 16, 2017

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

By abdul b

Mar 08, 2016

Can be improved, predictive analytic s section was missing details

By Richard T

Jan 08, 2016

Good introduction to analytics. Short. Not particularly demanding.

By Ricardo S

Oct 11, 2015

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

By Alejandro S

May 07, 2019

Outdated information, but still learned data analytic insights.

By Erica C M

Feb 25, 2018

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

By sakshi l

Apr 26, 2018

Need practical knowledge on how to use models for prediction

By Juhong P

Jan 01, 2020

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

By 张婧仪

Mar 04, 2018

Too much information that is not integrated nor systematic.

By robert k

Feb 08, 2016

Basic review for those with some familiarity on the topic.

By Ankit K A

May 18, 2018

Could have been more detailed into mathematics and models

By Niv U

Oct 09, 2015

More hands-on experience would make this course better.

By Vainathayamalan V

Jun 17, 2018

No Tests allowed for free is completely unacceptable

By Jason G

Mar 17, 2016

Does not have very engaging material or assignments.

By Celine X

Apr 10, 2016

need more specific tools instead of pure concepts.

By Leonardo N A

Dec 05, 2015

I little to much superficial. But still usefull.

By Shirley Z

Dec 17, 2019

The instructor is extremely dull to listen to

By Denis G

Dec 16, 2015

There are not enough quantity of assignments.

By Brittany M

Mar 28, 2017

Lots of talking, not a lot of doing.

By Terry-Ann L

Feb 21, 2016

I found this course difficult...

By MUHAMMAD A S B A R

Dec 12, 2017

A good workout for my brain :)

By Cedric G

Apr 06, 2016

week 1 is a little complicated

By Kumar A

Jun 21, 2016

It's provides good exposure!

By Diego F

Feb 16, 2016

Good, but not on my scope.