Was really interesting...but the predictive Analysis part wasn't well detailed, the clumsiness was something else. I mean the illustrations and all. But all the same,it was really impactful.

I found this course productive and useful. Highly recommend it to people who are interested in learning 21st-century marketing. Thanks to Wharton School and Coursera for creating the course.

I learned new information on how to look at customer data and evaluate customer loyalty. I am not sure how I will use this information, but it may be valuable in models I may need to build.

Course provides the essential information on the topic from a top level, providing a broad range of knowledge, however it doesn't go into depth as to how to execute the models discussed.

Good eye-opener for the theme. Definitely a starting point for either people interested in pursuing this career, but also for consume to better understand the business world around them.

This course was very insightful and informative for the understanding of what to look for (types of questions to investigate) and how to go about constructing the data on our customers.

It was a very good course with valuable aspects to learn and explore. All the professors were very fine in sharing the information especially Prof. Iyengar.

All together worth the time.

We need to work more on the information flow through the lectures, students can easily lose track (except, the fifth week was great in reiterating the outline).otherwise great material

This is a very useful program to understand the basic concept. Faculty explanation was crisp and easy to understand for beginners. Expecting more such courses but at an advanced level.

Was useful study. Would be great if more in depth data set models covered by any of the professor with real life case, by applying techniques likes RFM models, Market Basket Analysis.

It was a great opportunity to study on Customer Analytics. Though I have read some techniques during my under grad study but I was not aware that when and where to apply these models.

Would have liked to see more quantitative parts!

Maybe for next time an assignment where we get an excel sheet and we need to identify ourselves which customers are the most profitable

The course was fantastic to understand the basic concepts of Customer analytics but the it really lacked a math part to get to know about models and other numerical analysis methods.

Great amount of theory was covered, only the PREDICTIVE one was going over the head, but was able to google and map the concept/context and understand.

Thanks you for this.

Babuprasad

I'm a non-business major student and I find myself learn some interesting theories and facts through this course. Though I hope there will be more technological contents included.

Business Analytics with specialization in Customer Analytics is recommendable course for those who have data driven marketing analytics background and wants to enhance their skill.

More of a theory part, but it could improve drastically if some basic practical knowledge is been given, like it could even be excel analytics for few models. Rest it was Amazing!

Very good thank you.The rate is that I am very much into People Management in concerns than customers, but progress in this field, from Sales to Customer Analytics is tremendous!

The content was absolutely engaging and covered recent trends which is the need of the day. Wonderfully delivered by the resource persons in a crisp manner. Kudos to the team!!!

Some of the content is a bit dated and should be updated. Overall, it's still a great primer on how essential it is to act on the data-driven insights for effective marketing.

It is a very informative course, precise to point and a lot of subject covered within a time period. It can be even more helpful if technical stuff could be explained. thankyou

Much of the last two weeks was either unnecessary information, or the quizzes contained answers that were somewhat arguable in different contexts. Overall, a valuable course.

The course was far better than I expected. It has covered all the various portions that one need to know while they are trying to analyse customers. Thank You for the course.

Great lesson to learn about customer analytics. But I was expecting this course to be more practical. Maybe the professor can teach us how to analyze those data case by case.

Most of the calculations mentioned in the slide could have been elaborated.

Better & slightly complex examples with multiple variable could have been included in the lesson.