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.

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.

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.

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.

I'd give this course 3.5-3.75 stars. Week 3 was the toughest, and I do not think the discussion forums are the best to get the support a learner might need to fully grasp and understand topics.

The course provides a high level view about the customer analytics - good enough to be aware, however it does lack the detailed information on models. The last part by Prof. Bradlaw is great.

Some of the courses do not have key point, especially professor Peter. When I got the quiz, I would doubt whether I took the correct one because every question seems to be out of my reading.

Great theoretical knowledge for beginner.Would recommend this course to gain insights into customer analytics before putting hands into actual customer analytics tools and technologies.

Good, if you want to grasp the span of such discipline. Focus on a few tools and the philosophy of them.

Don't expect though to get formula's explained or any assistance on the forums.

Disappointing. It is only a general speech about available technologies in the field of customer analytics rather than an Analytics course. Some interesting concepts though.