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Learner Reviews & Feedback for Customer Analytics by University of Pennsylvania

4.6
stars
9,697 ratings
2,151 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 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!

MA
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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2001 - 2025 of 2,090 Reviews for Customer Analytics

By MUHAMMAD A S B A R

Dec 12, 2017

A good workout for my brain :)

By Cedric G

Apr 5, 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.

By Jiaqi Z

Sep 25, 2016

not so interesting

By Saira B G

Aug 19, 2016

For the secod week

By Mohamed M

Oct 19, 2016

very high level

By Marica C

Dec 15, 2015

good insights!

By Manish M

Mar 30, 2020

Not my thing!

By 麦仝历

Jun 10, 2019

适用性不太强,讲得太浅显

By Antonio P L

Dec 6, 2015

Good Course

By Kayla S

May 20, 2020

This was an incredibly weak first course in the Specialization. It does lay necessary groundwork, but there are frustrations to be found. Lectures often do not clearly cover or even completely neglect to cover content found in the quizzes. One professor in particular seems to make it a point of pride that he has elected to create a quiz that requires an understanding of the topics beyond what he is willing to be provide. There is little to no interactivity with the concepts covered, which is a big disappointment. This course seems to primarily be an introduction to using data to better understand your customers; to that point, it would have been helpful to start the course off with a case study. As new concepts are introduced, they could be tied back to the study to better demonstrate where we use descriptive, predictive, and prescriptive analytics and how their outcomes might further guide our research. For anyone turned off to the Specialization by the underwhelming and often frustrating content of this course: keep going. I continued with Operations Analytics, which is much more hands-on and overall more rewarding. It seems to get better.

By Muhammad A

Apr 12, 2020

Course fails to go into any actual real-world 'customer analytics'. The focus is very high-level and just theoretical while analysis is limited to basic statistics applied in Excel (which much explanation). For context, the course talks about regression analysis but fails to explain what regression is, but just shows you how to create a regression line in Excel.

Course felt more like how to use Excel rather than diving into Customer Analytics.

By Kaweerat P

Jun 21, 2020

On a good side, this course the essential understanding of Customer Analytics and in week 5, there's some interesting examples of how advance marketing analytics help businesses. But on the worse part, this course only provides the basic ideas - too broad. Most contents are solely based on examples each lecturer thinks of. It would be great if there's a case study or a data set sample for students to analyze and come up with recommendations.

By titus l

Feb 20, 2016

It is however a real eye opener to see the applications of customer analytics. However, I do wish there was more time to understand the statistics and the math behind the modelling. This course tells you the potential, but doesn't delve into the treatment of data. Also there is insufficient case studies and practice questions unlike the operations analytics module so it was difficult to get a handle of concepts without application.

By Alex S

Feb 25, 2017

Unlike the other three business analytics courses I completed, I thought this one was light on content, and lacking adequate coverage of concrete tools (formulas, software programs, etc.). In addition, the quiz questions for weeks 4 and 5 seemed to come out of left field, as if they had been prepared for a longer, more comprehensive course; not based on the small amount of material presented.

By Greta B

Nov 15, 2020

The information is topical. Nothing goes too in depth and you must do your own research outside of the course. The information is dated, but still relevant. The transcript/cc is transcribed incredibly poorly. This course requires an update and a proofreader. There are insights that are useful and helps you get a general sense of customer analytics. But from 3 or so years ago.

By Micah R

Oct 30, 2015

Material is too introductory, barely skims the surface. It fails to dive into fundamental concepts beyond mere definitions, and the accompanying examples get bogged down in irrelevant details. The last section dealing with Application with Prof Bradlow is the only one that had some value, presenting a broad array of topics in an organized, simplified yet well-rounded manner.

By Lukas F

May 19, 2017

This course gives you an overview of customer analytics on a very basic level, however, sometimes too basic, even on a highschool niveau. For a paid service I expect the text to be tipo-free and the questions unambiguous. Some of the answers only consider the information just given in the video but not the big picture, therefore, they simply wrong.

By Avazeh G

May 12, 2020

The course is more than 4 years old! One week out of 4 was really badly presented, the quize is irrelevant to the material presented in that week. Perhaps it is expected from a marketing professor to over-promise and under deliver but I'm disappointed. The other 3 weeks were quit good to build a foundation but still the course is out of date

By Kartik K

Jun 17, 2020

Takeaways:

The course structure is undoubtedly good. The given pattern is appropriate, and easy to follow.

Some audio issues persist in a couple videos. There is no feedback provided. One won't be able to check, "assess" and recheck his/ her performance in any, any of the quizzes.

Regards.

By JUAN R

Aug 16, 2020

This course is purely based on videos with very general concepts. There are no excersices at all or practice problems so that concepts can actually be applied. Quizzes ask for questions that are not properly explained or related to the material. I don't recommend this course.

By Stefano

May 23, 2016

For the price paid I would expect something more... It gives you an idea and show you examples. Good background course in order to show your interest in the subject. It could have been organized in a different way in order to make tinteractive and

By Varun R

Feb 17, 2017

Some really good weeks (Predictive Analytics and Case Studies) and some really bad weeks (Descriptive Analytics - surveys is not Descriptive Analytics and Prescriptive Analytics - which talks of marginal economics more than Analytics)

By Benjamin B

Nov 5, 2015

This course doesn't go enough in detail concerning the different customer analytics methods. The last part on applications focuses too much on what was going on in marketing in the past and doesn't address digital marketing enough.