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Learner Reviews & Feedback for Customer Analytics by University of Pennsylvania

4.6
stars
11,893 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

PJ

Feb 2, 2020

The course is very good. I have learned a lot from the course. A lot of interesting topics and help me to under the marketing. I will for sure continue learning more courses from this specialization.

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!

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2401 - 2425 of 2,537 Reviews for Customer Analytics

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 1, 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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Dec 31, 2019

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

By 张婧仪

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Mar 3, 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

By Niv U

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Oct 9, 2015

More hands-on experience would make this course better.

By Sonal A

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May 27, 2020

some of the parts were extremely unclear rest was good

By Vainathayamalan V

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Jun 16, 2018

No Tests allowed for free is completely unacceptable

By Jason G

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Mar 17, 2016

Does not have very engaging material or assignments.

By Celine X

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Apr 10, 2016

need more specific tools instead of pure concepts.

By Leonardo A

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Dec 5, 2015

I little to much superficial. But still usefull.

By Keanan T

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Jun 15, 2024

very theoretical, i dont like his indian voice

By Shirley Z

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Dec 17, 2019

The instructor is extremely dull to listen to

By Denis G

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Dec 15, 2015

There are not enough quantity of assignments.

By JIGISHA R P

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Mar 22, 2022

fOR BEGINNNER ITS GREAT INSIGHT OF MARKETING

By Sukirtha S

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Oct 14, 2020

Pretty outdated but still somewhat useful!

By Purvi B

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May 7, 2024

why is there no name on the certificate.

By Alexandra A

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Aug 17, 2020

Lectures are very dry and unengaging.