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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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1826 - 1850 of 2,496 Reviews for Customer Analytics

By Yue L

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May 23, 2018

The first 3 weeks of content are kind of boring, but the last week really wraps it up and makes a lot things happened in my life make sense to me suddenly.

By Irapuan B

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Apr 13, 2020

The week four and five were the hardest ones to follow, maybe it was just my fatigue after the first parts, or they need to improve in something in there.

By Venkat R

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Sep 10, 2019

The course structure is very good. It will be good, if there are more live examples for each topic discussed in the course.

Thanks Coursera for the course.

By Timothy S M

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Mar 27, 2018

The instruction was somewhat uneven (Professor Fader's lecture was outstanding; the high point) but generally I took a good deal of value from the course.

By Zhu K

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Apr 22, 2016

It covers quite a lot data exploration methods during the course. However, they are not deeply introduced. It can be better explained with more materials.

By Preet R

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May 13, 2020

very informative and useful. gave me a clear understanding of what customer analytics is and how applying customer analytics can boom a business or firm.

By 陈佳煊

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May 4, 2018

Very informative. Very basic and reader-friendly. Even if I have no knowledge about this topic before, I can still catch up with most of the points here.

By Sara M S

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Feb 6, 2016

The module was good. I just would like to have more cases in how companies are implementing customer analytics and overcoming the challenge of poor data.

By Rahad I

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Apr 19, 2020

This is giving a basic foundation about customer analytics. They have teach what are the tools to use for customer analytics but not in a technical way.

By Kevin C

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Feb 2, 2020

Great high-level overview! Would like a little more detail on some of the mathematical calculations that should be employed, but otherwise great info!

By Ayaz W

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Apr 19, 2018

A good starter course to understand about what to look for when looking at customer analytics and who to target and what to expect from actions taken.

By Denis S L

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Aug 28, 2020

It presents a relevant but very superficial content. In addition, the materials are too old and need updating to better reflect the current reality.

By David J

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Feb 7, 2019

some of the material around attribution is clearly outdated to current market offerings. the content needs a refresh, has antiquated references too.

By Gourab N

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Oct 18, 2015

The course gives very good business ideas driven by analytics. However it would be great if the course could have been more practical/data oriented.

By Kumud D

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Oct 6, 2020

A very easy explanation for all the concepts. One can easily relate the examples to understand better. Thanks for the additional reading materials!

By Peter W

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May 27, 2020

Very informative, but would not pay a penny for this course. Wharton is holding on materials and only giving out very brief introductory knowledge.

By Ahmed M E

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Apr 3, 2018

I think it need more practical parts, the tools that can be used along with the techniques and best practices.

But the over all thing was very good.

By Jewel A R

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Apr 21, 2020

Some of the key information are outdated already, like the marketing strategies being used by different companies in the last part of the course.

By PARIJAT G

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Oct 24, 2019

Could had been more detailed with a few models examples for determining customer value and examples of data predictions and prescriptive actions

By Midhun C

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Jul 8, 2019

Good to get an overview about the current ongoing trend in customer analytics. Helps the learners get comfortable with the language of analytics

By Robert P

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Dec 11, 2016

Really good overall, but week 4 was very weak compared to the other four. Less engaging, very basic, and didn't add anywhere near as much value.

By AKHIL P S

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Mar 3, 2020

It was a really nice learning experience there was a lot to listing too but kind of came to know more about how a customer is analysed online

By Kingsley A

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Jan 28, 2019

A really insightful gaze into the world of analytics. This is a real career opportunity for me and I'm glad I managed to take this first step.

By PRATIBHA M

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Jan 7, 2016

A solution set to all the questions or at least the question not answered correctly in quiz with explanation would help improve understanding,

By Elango E

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May 2, 2020

Very informative. But I wish it was a bit more detailed and specific on the type of tools. And helped us derives calculations using the tools