Too much information that is not integrated nor systematic.

A lot of the content is pretty basic. I was expecting something a little more in depth. There weren't even any problem sets.

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.

Good introduction to analytics. Short. Not particularly demanding.

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.

Great learning experience, although it could be more practical from the very beginning.

It's provides good exposure!

I was a bit underwhelmed by the course. It had lot of lectures and theories but limited case studies / and no exercises.

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.

Classes were interesting, although a bit light. I would also have liked to have more explanations on the quizzes to make sure the material was fully understood. And reading references would have added to the experience. It felt a bit like the class was kept basic in order to make the corresponding "specialization" package more attractive. Slightly disappointing.

Including a few calculations will help in understanding the core concepts

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...

1) Lack of hands on practice with the Buy Til You Die model.

2) The concepts in Weeks 2 to 5 are already well covered in technology blogs and news sites - I'd have liked to see more current material such as 'Overview of Different Types of Marketing Attribution (Heuristic, Algorithmic..), 'Cohort Analyses', 'How Digital Advertising / Programmatic Media works', 'Web Analytics' etc.

3) Hands-on exercises with R or Excel would be ideal.

Pros: Concentrated material covered clearly and efficiently. For the limited number of video material (~1/week), there is a lot of basic concepts explained well.

Cons: Few specific examples, which I think reinforce the abstract material presented. I think going though some numbers really drives a point home, and not having examples left me feeling a bit adrift.

Overall: Good information and food for though, but not a lot of actual analytics. Take if you don't have but want experience in this area.

Quizzes are worded in a very round about manner, making passing them a test of the English language!

Fairly basic and theoretical. More applied customer analytics assignments would make the course worth one's while

I found this course difficult...

Very much bird eye view. Not a lot of detail. A lot of obvious statements.

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.

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 really enjoyed lectures by Prof. Iyengar and prof Bradlow. They were very helpful in understanding the basics and the applications. I also like Dr. Peter Fader's approach of teaching a concept though a story. I hope Dr. Berman can innovate and come up with more interesting ways to hold the audience and teach the concepts as currently sitting through his lectures is quite a task.

not so interesting

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.

Although it is quite basic, it is a good starting point for someone new in Customer Analytics

Basic review for those with some familiarity on the topic.