If the professor could give more maths insights and mathematical deductions on his paper, I will definitely give 5 stars!! Really a nice introduction on customers!

This is a great course. It seems to be advance level. The person who want to learn from basic. They have to first understand the basic of these things.

Thank you

I think it's a good introduction course in analytics, but if you already work in tech it might be just refreshment to what you already are dealing in daily basis.

Interesting and insightful course, but too much theory. Some practical sessions with hands-on calculations would have been great to manifest the learning content.

Would have loved to understand the calculations behind the probability models in the predictive analytics section, giiven that this is a beginners level course.

The lectures are great, I have been imparted a lot of knowledge, and like Mr. Eric said, it's not just because it's good to know, but it will have applications!

A lot of concepts to learn and a high level of abstraction that sometimes is difficult to comprehend. Sometimes I missed some hooks to illustrate the concepts.

Amazing coursework for an all-round knowledge about marketing analytics and how is it used by the industry. I hope to do an advanced course soon on this topic.

I followed the course to learn more about RFM models. There's a nice introduction to it, but it's not covering this topic in depth. Still looking for more now.

Really like it, it is helpful too, except that some slides can be a bit too wordy + boring. Try to use different types of media in terms of teaching please :)

It was a great experience, well paced and the subject matter was clearly explained. It could use more, deeper content - it feels like scratching the surface.

Very intesting introduction to Customer Analytics. My first Coursera course but will definitely want to complete other courses of University of Pennsylvania.

The Professors have done extensive work in this field. However, the examples shared were about 10 years in the past, so the information needs to be updated.

All the slides were filled with information. Still my favourites is Eric Bradlow as he connects more by giving more indepth examples which we can relate to.

The course is very good, but I think it can be updated with more modern tools and concepts. I think the course is based on data and concepts from 2015/2016

Спасибо за курс! Очень полезно!

Хочу порекомендовать применить субтитры на русском языке, данный курс будет доступен наиболее большему количеству желающих.

It was an interesting 5 weeks course, getting to under direction Models that can be used , understanding ways to gather data needed for customer analytics.

Fantastic course! Definitely learned a lot about Analytics, specifically in marketing towards customers. Really enjoyed the segment regarding case studies.

The first 3 weeks of content are kind of boring, but the last week really wraps it up and makes a lot things happened in my life make sense to me suddenly.

The week four and five were the hardest ones to follow, maybe it was just my fatigue after the first parts, or they need to improve in something in there.

The course structure is very good. It will be good, if there are more live examples for each topic discussed in the course.

Thanks Coursera for the course.

The instruction was somewhat uneven (Professor Fader's lecture was outstanding; the high point) but generally I took a good deal of value from the course.

It covers quite a lot data exploration methods during the course. However, they are not deeply introduced. It can be better explained with more materials.

very informative and useful. gave me a clear understanding of what customer analytics is and how applying customer analytics can boom a business or firm.

Very informative. Very basic and reader-friendly. Even if I have no knowledge about this topic before, I can still catch up with most of the points here.