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.

A good overview of marketing analytics. But its too vague and it doesn't demonstrate the how-to conduct analysis on the data to predict the future outcome.

Very basic course and assignments were not rigorous. I was expecting an assignment where I would have been expected to calculate CLV or predict an outcome.

pretty easy materials.

was a bit frustrated because questions on the tests did not seem to come from the material covered for a few of the test questions.

Very high level intro to marketing analytics concepts. All about what you can do with it and little about how to do it. Better course for non-analysts.

The course content was insightful but I was expecting to get more hands-on experience and practical applications of the theories taught in the course.

The course was very complete, but the information needs updating, some of the data that was shown (mobile phone users, for example) is outdated.

The sound is bad, and the quiz is confusing, doesn't really match with what the teachers actually talked about, matched maybe with just the PPT

I haven't got much out of probabilistic model. the content provided needs to have better reading materiel for deeper grasping. Thank you.

to my opinion it's too basic, was really nothing new to learn. And i also felt that the course is outdated, it's like from early 2000th...

Would have been great to have real life examples outside a typical convenience store and retail with real life tool in real life cases.

Good course for marketing people who are new to customer analytics. More concepts and models would be great for this course objective.

Interesting hints, inspiring professors, lacks formal explanations and exercises, a little too verbose. Longer would have been better.