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.

The module was good. I just would like to have more cases in how companies are implementing customer analytics and overcoming the challenge of poor data.

This is giving a basic foundation about customer analytics. They have teach what are the tools to use for customer analytics but not in a technical way.

Great high-level overview! Would like a little more detail on some of the mathematical calculations that should be employed, but otherwise great info!

A good starter course to understand about what to look for when looking at customer analytics and who to target and what to expect from actions taken.

It presents a relevant but very superficial content. In addition, the materials are too old and need updating to better reflect the current reality.

some of the material around attribution is clearly outdated to current market offerings. the content needs a refresh, has antiquated references too.

The course gives very good business ideas driven by analytics. However it would be great if the course could have been more practical/data oriented.

A very easy explanation for all the concepts. One can easily relate the examples to understand better. Thanks for the additional reading materials!

Very informative, but would not pay a penny for this course. Wharton is holding on materials and only giving out very brief introductory knowledge.

I think it need more practical parts, the tools that can be used along with the techniques and best practices.

But the over all thing was very good.

Some of the key information are outdated already, like the marketing strategies being used by different companies in the last part of the course.

Could had been more detailed with a few models examples for determining customer value and examples of data predictions and prescriptive actions

Good to get an overview about the current ongoing trend in customer analytics. Helps the learners get comfortable with the language of analytics

Really good overall, but week 4 was very weak compared to the other four. Less engaging, very basic, and didn't add anywhere near as much value.

It was a really nice learning experience there was a lot to listing too but kind of came to know more about how a customer is analysed online

A really insightful gaze into the world of analytics. This is a real career opportunity for me and I'm glad I managed to take this first step.

A solution set to all the questions or at least the question not answered correctly in quiz with explanation would help improve understanding,