The course has very current and exciting contents offered by the best tutors.

Great intro to descriptive, predictive and prescriptive. Good simple excel examples. Quizz questions are convoluted at times IMHO and I am PhD. (not talking about the anti-regurgitation questions. I liked those.) It hard to make quizz questions to really test knowledge... KEY concepts RFM, NPS, regression. missing: correlation matrix perhaps. would like to see a full case such as capital one or UPS. review of industry tools in descriptive was useful. Cool that you show the campus... This is my desk, this is my backyard where I had this aha moment, here is the cafeteria... :)

Crisp and clear overview of customer analytics. The course has definitely increased my interest in customer analytics!

its amazing af

Great experience as well s learning.

I thank all the professors for their guidance and hard work .

Please improve prescriptive analytics section.

It seemed that it is no where related to predictive analysitcs section. Predictive analytics spoke how to predict future. Prescirtive analytics should have mentioned about how to use predictions for converting into actions.

Excellent course course for analytics aspirants, well explained by highly experienced faculty.

I was truly fascinated by the quality of the professors in terms of knowledge as well as the readings offered.

Excellent Course. Excellent Professors. Really opened my mind to the possibilities of using Data for far superior Business results. The Industry wide examples were eye openers.

Very good introductory course to the high level concepts of customer analytics and interesting insights into how some companies are using it. Whets the appetite for getting more hands on with the models. It was a nice follow on from the Introduction to Marketing course from the Business Foundations specialisation (also Wharton)

Very good course to understand the advanced analytics practices followed in the modern day sales and marketing profession and how our day to day actions and experiences are linked to it.

Very Helpful..... :)

Well crafted and good content. Very helpful in learning the business thinking that needs to be done with all the analysis.

Excelente!

I really enjoyed the module. It was brief but opened up new perspectives nonetheless. I love the flow and structure of the course. Every professor was concise and great teachers - I personally found the summary at the end of each week's module particularly useful. I also want to say thanks to Prof Fader and Prof Bradlow for their impassioned lecture modules. It was such a great privilege to be able to be part of this Customer Analytics module on Coursera offered by the Wharton School.

Cheers, Koey, from Singapore.

One of the best courses i took. This gave a lot of new sense about data and it serves as a platform connecting marketing and analytics. Thanks to Coursera and Wharton for giving me an opportunity to learn about customer analytics . I want more courses from Wharton.

Thanking U

very good

Important for market development.

Fantastic! I never had a chance to see analytics from this point of view and so amazing to discover how to implement this for my profissional life!

v

Fantastic teachings and professional learning materials!

My rating is what I expect from the course!

Dear professors. I thank you all from the bottom of my heart for taking the course. I have umpteen quantity of marketing analytics knowledge already. The quality of the professors at Wharton makes me crave for an admission there! Thank you so much again! Thank you Coursera!

Very Good. Want to do next courses.

Highly informative! The course delivery (i.e. lectures) was clear and interesting, especially supported with various real-life examples on how companies utilize and monetize analytics. Also, the course has inspired me to be more involved in analytics-related roles in my job.