The course provided some useful insights into methods of statistically measuring customer value, however, they only provide you with the spreadsheets to input data without really ensuring you understand the und

Not very engaging, spoke a lot about companies that provide data collection and analysis vs the actual process and real-world examples of how someone can use it in a business setting. Boring delivery also

The level of questions on the quizzes week 3-5 does not match the level of the lectures and the "reading material" are just slides. Please provide additional reading materials, the videos are not enough.

The quiz questions are confusing and ambiguous.

The lectures are dry and static. Some video backgrounds are distracting (people traversing hallways and stairs).

Uninspiring to engage. Dated production.

very topline and maybe too generic if you are looking for some practical and hands-on course on analytics. Customer analytics approach concept is fine, but nothing new and not really actionable.

It's not that it's bad – the sections with Peter Fader are interesting and the supplementary reading is interesting – but the level is very introductory and the content is uneven in quality.

Week 5 with Professor Bradlow is fantastic! More real-world examples and sample data sets to actually experiment with the concepts covered in this class would be welcome enhancements.

Its honestly just a primer i learned no statistical modelling or how to program or how to obtain such data (data mine?).

I guess for a primer its good but application wise is meh

Although the content was very interesting and the basic concepts were good to know, the student doesn't ultimately gain any tools that they use upon exit of the course.

Experienced it as 1, a lots of quantitative statistics, 2, focused on B2C. None of these really apply to either me nor the company, so most contents will not apply.

Interesting assortment of professors but very little interaction in the course. Just 4 quizzes. Not very helpful for building a deep understanding of the material.

Gave theoretical information but no practical, applicable information to use and help me do my job better. Quizzes didn't match information covered in videos.

I found this course to be very theoretical. Could have used some customer analytical examples to segment customers and any other similar applications.

Great course, great content, I really like this course. But if English is not your first language, the exams are crafty enough to be in trouble...

Not helpful just provides only some basic insights. Not expected such type of course content, it could be more enriched in the course content.

Wasn't practical and I couldn't take away many learnings from this course. Would have liked some hands on real world problems to work on.

Too high level and there's no detail tools and exercise for analytics. I felt I didn't learn much after this course. Quite disappointed.

While these courses have interesting subjects, the content is very light, requires little effort and hence results in little learning.

Good introduction to get an helicopter view on the topic.

Lacking of hands on exercises and explanation of more advanced concepts.

it was quite difficult to follow , due the language barrier and it was only overview , they could gave a bit more informa

I was expecting some models will be designed and solved in the class sessions. But the lectures contain only theories.

the course is introduction and it's not deep , i felt bored actually plus i was afraid form the Indian professor

Lots of theory and concepts, but little in the way of how to solve customer analytics problems yourself.

Compared to Operations Analytics class, this class does not provide as much applicable skills.

Very high level course, interesting as a background but doesn't really deep dive in any topic.