Definitely a lot of useful information. I had a little difficulty with some of the tests. I think I would have done better had there been some exercises to help bridge the concepts to application. Also, some points were tested, and it wasn't clear that those points were so necessary to know.

A large gap between the presented oversimplistic modeling approaches and the presented applications. I would expect more "meat" in between. The applications part was nice, the regression and predictive part a little too basic, and the prescriptive part not really worth the time.

The course is informative and the same time quite challenging.

However the main reason behind giving a three stars would be:

1) No quiz at the end of each lesson

2) No hands on experience

3) You need to grasp the concepts at one go or else you will end up failing in the test

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.

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.

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.

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.

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.

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.

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.

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...

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...

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.

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.

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!

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.

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.

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.

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.

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.

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.

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.

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.

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).

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.