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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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2251 - 2275 of 2,496 Reviews for Customer Analytics

By Voravich C

•

Nov 21, 2019

The contents are quite theoretical. It could be improved by adding more practical examples.

I don't know if it is just me, but the sound for this course is too soft that I could not hear clearly through built-in speaker. Nevertheless, it works just fine with a headphone.

By Ekaterina T

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Mar 18, 2019

I did not find the structure of the course useful. Also even though there were a lot of examples (some of which were quite lengthy) I wish they went a bit deeper into the math behind the models.

Quizzes seemed to test your memory more than understanding of the material.

By BRUNO L P

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Oct 27, 2017

Comenta sobre uso de dados mas não traz exemplos de data-sets, como analisar informações coletadas ou mesmo como coletar os dados. Modelos apresentados são básicos.

Uma ótima introdução para aqueles que não entendem do assunto, porém superficial para cientistas de dados.

By Carlos

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Jun 1, 2020

The flow of the course is adequate, but some questions of the quizzes were not fully discussed in the lecture slides or material. In some other cases, I would appreciate if you could include the complete procedures of the models mentioned in the lecture slide deck.

By Kyra L

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May 2, 2020

Overall is good content. I like Eric most!

The quiz part is not ideal - it does not show the explanation of the questions/answers, which is somehow frustrating to know the reason behind the answers. Additionally, the subtitles of one of the courses are not correct.

By Amol B

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Jul 10, 2020

The information provide by the faculties is really insightful for a person having no marketting background. One gets to learn lots of new things. However, i feel the slides and probability model in predictive analytics can be explained in a better way.

By Martina F

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Dec 4, 2016

If you are looking for an overview and have not had much exposure so far, this is a good course. If you want to go deep, it will not be sufficient for you. I would prefer a deeper dive with more examples to work with. But still this is a good start.

By Shawn E

•

Oct 15, 2022

The professor speaks to fast and with his accent it is a little difficult to follow or understand what he is saying.  Also, I feel that he needed to offer better explanations to the concepts rather than assuming the student knows the new material.

By Bojan B

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Feb 6, 2016

Not bad, most of the times boring because there were no real examples and scenarios. The professors are knowledgeable and should deliver that to us even though we pay waaaaay less than Wharton students who are fortunate to have rich families...

By Guilherme B P

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Aug 16, 2018

Very interesting course but I missed more detailed information on the presentation slides and additional reading papers. It is very helpful to introduce initial concepts about customer analytics but it misses the opportunity to go dipper on...

By John L B

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Nov 21, 2016

Overall this was a fairly interesting course, but some weeks were much more engaging and challenging than others. I really enjoyed the challenge of week 3, but unfortunately it was followed by week 4 which was not engaging and lacked content.

By Lisa M

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Aug 13, 2016

Good introduction of topics, but it did assume some working knowledge of the topic. Some of the quiz questions did not seem to have any supporting material information in the course, making trying to determine the right answer frustrating.

By Stephanie P

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Jan 23, 2023

Solid program - not sure how to apply everything in a service based industry (management consulting firm). We do not have a "product" we "sell" our expertise and it was not clear how to use some of the recommendations in our environment.

By Daniel M

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Jul 23, 2021

Eye opening. BUT, i wish there was an excel sheet attached to the first three weeks that I could follow up with the lecture, and have a more interactive experience. Like, "here is how you do this by using excel." That would be amazing!

By Darius G

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Jul 13, 2020

The material is pretty long for such a theoritical course especially with the predictive analysis part. I think the course needs to get more technical with the probability model since it is pretty important and a very practical model.

By Thumb J

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Aug 9, 2016

Covering basic information of customer research and tools. Not really insightful in my opinion. The structure of the course could improve a little. I think it overall fits with novice learners who are interested in online marketing.

By Sibusiso T

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Apr 13, 2020

A lot of storytelling with both an ambiguous delivery and way of asking questions. The content is, however, very interesting and engaging. Enjoyed the extra reading material and exposure to real-life research that is relevant.

By Vinogradova A

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May 5, 2016

This was very interesting! But we don't have the answers for the questions that appear during the course. And one more time: The big problem of these courses is we don't have real feedback, we can't ask teacher anything.

By jaime j i c

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Apr 10, 2020

Maybe is because is just an introduction to the topic but I felt the content was vague. Week 3 was a little hard to understand because of the script was kind of messy. Maybe a tiny glossary of terms would be helpful.

By Yeung P K

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May 22, 2018

one quiz is way too far away from what the lecturer has taught, and some of the examples need more clarification, like the one about WTP. And please take care of the volumn of the videos, some of them are too soft.

By Srinidhi N

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Apr 15, 2020

The course is very high level. I expected much more details and more in depth materials from the course. Some assignments or case studies should be there. The course is more of introduction to customer analytics.

By Spider L

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Apr 9, 2017

Interesting information and enlightening as to what major players are doing in the marketing place to improve both understanding of business dynamics, predicting outcomes and impacting actual business results.

By Ankur S

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Jun 26, 2021

Decent overview of Basics and Practical examples in Customer Analytics. Would have appreciated a little more hands on approach on creating Regression Model or any other basic models (if not advanced ones).

By Jason M C

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Sep 29, 2015

The course is decent, though it's hard to feel like I've properly learned the subject, as the class consists entirely of quizzes and lectures. I would have preferred some more interactive assignments.

By neelakanth v

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Jun 7, 2016

Hands on exercises and analysis would have helped a lot in practical understanding of the concepts. There were a lot of exercises in "Operations Analytics" course. The same would have helped a lot.