I was expecting some data analysis techniques as well. Please statistics also such as the use of regression, inferential, etc.

This is very much a primer. I was hoping it would go into more detail than it did, but I did find it a very helpful overview.

The course is very informative for those interested in data analytic and want to go for market research kind of jobs.

Presents a useful analysis framework, but with limited practical examples to learn how to use analytical tools.

This course is very light on actual practical application of analytics. It's more theory than anything.

Good course material. It should focus more on the tools rather than the theory part of it.

This course was a brief intro to digital marketing analytics, not what I expected.

hands on experience based content would have been appreciated, Its a good course.

not enough practical examples. the information is providede on a bit higher level

Apart from theory some practical lessons in R could have been implemented.

The nam says theory but it was kind of too much of theory without examples

The course could have had more practical application based assignments.

Informative course; messy organization (readings, assignments, quizzes)

This course explains excellent materials. But no hands-on practice.

Fruitful course(mainly last few lectures) on data presentation.

Same as the theory class not much examples or case studies....

Good course for basic information about digital analytics.

I wished the content and the tests were more challenge.

It was good but expected some more technical aspects

ID verification takes too long. Please look into it,

Not much practice, very primitive examples and tasks

It gives an overview of various tools available. But

Interesting but not much practice despite the title.

A little too simple and too broad. Overall it's ok.

More exercises and real practice would be helpful.