This is a good course if you are now in analytics (that's my case), but also, I would have prefered if they had gotten into a more deep explanation about tools, specifically in the predictive analytics module.

In summary, I think teachers are great, but they should explain better and get deeper into the topics.

Exceptional course in content. At least one of the exams left too much to the student. Data was not/not covered in the course leading to a disconnect in the material and test. If that is corrected, this would have been 5 for 5. This is my 19th course with coursera and it would have been the first 5 for 5.

great topic - super content from many varied individual perspectives! Some of the interviews / presentations were too thin - or too fast. This is expected of course - but the quizzes where still geared towards thorough understanding. I still valued and learned from the content and am glad this was available.

I found the material fantastic and being able to read the text while the lecture was going on was very helpful and there were times that the volume control did make it difficult to hear the professor. I also found it mildly amusing when Prof. Fader was giving his talk the kids behind him taking pictures

Great content, but I expected a bit more modern tools in the delivery. Too much cold power point and very little interactivity or any of the tools that help with retention. In some tests there are questions written to be tricky and not to evaluate learning. Also some questions on detailed not discussed.

Super informative course that got me excited to mess around with my company's data and tracking! However, I do wish there was more instruction related to putting these models into action. Some hand on formulas or an assignment to create a model would have punched up the value of this course for me.

I found this course interesting and informative. However some of the concepts could be presented with more details and know how. Some of the data presented in slides were hard to read. Also it would have been helpful to demonstrate some of the calculations that would help the decision making stage.

Great course to study, at the beginning of each course it takes a while to get into it then the light bud comes on after you try to take the test the first time and fail it, then you pay attention and listen to the videos again.That is when you know Customer Analytics is a thing you do every day.

Though I liked the course as it provides the basic knowledge of where the data analytics is applied in tracking the consumer data and applying it in analytics. I would have loved it even more if more technical details were provided with the course and programming exercises were also included.

Professors are great, especially Mr. Iyengar Just one improvement suggested that to be more clear when speaking as the professors teach a whole lot of things but everything comes in the exams in twisted form as it takes a lot of time to understand the things taught and answering it in exams.

It's both useful and interesting to see how analytics can be leveraged in marketing practices. I hope this 4-week course could be longer and introduce more assignments of interactive types rather than simple choice questions. Anyway, thanks to three insightful professors from Wharton School!

Thanks for such an amazing course to drive down the knowledge in very specific manner and being concise with the definitions, models and examples. More recommendations in reading part would actually get me learn more insights about the topic as I'm a newbie. Thanks a lot for this !!!

In the quizzes I would prefer to have at least one numeric problem to solve (i.e. a simple regression model), for the sake of students, that are not aware what is regression (as in this course it is just briefly talked about), to learn how to define a model and to solve it.

My 2 cents

Learnt a lot in this course. Really good examples to make you understand the theory and its application. But I think the videos were made in 2012 and some of the concepts cannot be put to practice now but it definitely lays a strong foundation for your marketing analytics endeavor.

The course was very fruitful learning experience with very obtrusive knowledgeable content in slides, which gives you deep understanding of customer analytics trends in real world time. However during few lectures the speed of teaching was bit fast. Overall it was good experience!

The module taught by Professor Peter Fader needs more emphasis how he came up with the model, and the material he teaches does not cover much of the quiz questions. I enjoyed Eric Bradlow module the most, which was pretty much based on real cases and applications in today's world.

It is a great course, and would recommend it to anyone.

A little more in depth explanation in terms of the various calculations / formula's used throughout the course would have been beneficial.

But overall a great course to take, specially if you are running your own business.

Had some really great examples of actual companies and their usage of analytics, as well as some basic concepts. The instructors are knowledgeable and passionate about analytics.

I wish there was a bit more in the way of assignments that used the formulas taught in the class.

This class was very informative and made me think critically. I learned a lot of new skills. My only concern with the class was that some of the test questions seemed to be very "hidden" within the information provided and didn't seem to be the "main points" of the class.

The course is good for introductory understanding of some concepts. Some quiz questions were a bit tough esp. the ones from Peter and did not appear from the course. I recommend this course if you its been a while since you did a graduate or undergrad business course.

There's a lot of discussion around what customer analytics is but not a lot of practical application to implement. I know in the beginning it said the course wouldn't be a lot of in-depth research, but the knowledge I've learned from this is extraordinarily high-level.

Theoretical part of the course is fantastic! Everything is explained nice and clearly. I wish there was more practical use of knowledge involved.

I have always dreamed to do MBA at Wharton Business School and thanks to Coursera I am one step closer to my dream school.

Thus far very informative, I'd give it the 5th star if it had had more practical content and maybe more case studies to work at and apply the knowledge acquired. In any case it opens up many more options to work with customer data and provides very valuable insights.

This course deals with what are the different types of data available and how to collect them and analyse them from the scratch. But could be better if they teach how to do programming atleast with excel so that the regression models and all can be easily understood.

Well thought out course - great start for beginners as it equips you with foundational knowledge. But, since the knowledge has a great depth to it, it makes it even more valuable for those looking to take these foundations and apply them in a more advanced manner.