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.

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.

I've got the information I was interested in. Thanks. In general, the course is quite light. I would have liked to see more details, best practices, probably some practice.

Good overview course but a bit simplistic. However, I miss some practical examples that could be tried and tested out in Excel such as in the Operations Analytics course.

Good introduction to Customer Analytics and some good background knowledge. However, not a whole lot of practical application or deeper insights into "Analytics Engines".

Very good foundational course on customer analytics. It would be helpful to add data crunching exercise to have practical experience on analytics from actual data .

very high level and entry information. useful for overall entry into customer analytics but would like deeper dive into CLV and probabilistic predictive modelling.

Some of the content seems not updated. The quizzes are too specific, instead of encouraging problem-solving, are more focused on the ability to memorize content.

The course was great but was very high level. I wish there were more examples and also course work to try creating regression charts and predictive analytics.