good

good

good

God

ok

..

For a foundational course, it was very, very good. The only thing I would have wished was to be Hands on with R as well as Tableau. It would have really made me 150% happy with the price that I was paying. Maybe it is the timing. Maybe it is a way to motivate ourselves to learn it.

I do like the fact that he protected us from getting banned from certain sites through free api access But, all in all, it was very nice. I really, really wanted to get hands on what analytics but i will go to other platforms where it is alot less costly or free to learn the things that I havent here.

Overall the course Digital Analytics in Practice touched many aspects of digital analytics web world but I found the course a lot theoretical even though it says "in practice". The It was like a constant puzzle to gulp lot of information on types, channels and methods of analyizing data at a given video without actually practicing literally. An assignment would have been better to make the videos understand better. To be honest this is the only course I am not confident about amongst all the three courses I have taken so far.

I was somewhat disappointed in this course as I expected much more "practice". The assignments did not have you actually perform any analytics activities. The course materials seem very out of date considering how much things change in the digital age. Reading Blogger posts from 2006 on a Blogger blog that hasn't been updated since 2012 is not forward thinking in my view. Yes, things don't always change, but the face of analytics changes daily.

I do not understand that even after completing the entire 6 courses i Specialization, I am unable to access the Capstone. And there is no help available at all.

Rest of the things are good in the course. Excellent faculty and material.

Suggestion: we should add as an activity- A blog/article writing to be published on Coursera page.

Hands-on analytics exercise is must for a set of data pool. You may also include google analytics data class.

It is good intro of concepts and models for digital analysis. However I do hope to see more in depth knowledge about data, models or even more examples of how to conduct a good marketing analysis. Really wish to see more real business cases/examples of how a professional does marketing analysis using big data.

Preface: audited course. Like the Theory course, this Practice course is heavy on referencing articles and blog posts for students to read. The slides are useful however the videos don't add substantially more insight. Course is more about introducing students to the data analysis process. Ok for a beginner.

I didn't know much about this topic at the beginning so it was too hard for me to understand. I don't really understand why it is part of the specialization. However the lectures were understandable and nicely explained.

Marketing Analytics in theory was much more enriching than this one. It would be great if tutors can add practical examples to show how marketing analytics is actually performed it would have been great.

I'd have liked an exercise where you take some dataset from some company and actually apply this. I felt the exercises were a bit easy. This isn't the sort of thing you learn or apply via essay.

Even though the theoretical part was well put together, case study questions were too vague and should have been better thought out. This part of the specialization did not meet my expectation.

The course material was not detailed. It was way to high level to understand the concepts. As compared to the previous 2 courses in the whole specialization, this needs to be improved.

In comparison to skills, updated information & value of certification that Google's Academy provides, this is not so good. Information is outdated by atleast 4 years on an average.

This course was a let down. There wasn't enough practical or real world examples to practice with. Good candidates would have been software companies in the SaaS space.

The course was fine, but I wanted to see more practical ways like the instructor showed google trends. More tools hands-on should have been discussed.

Overall the course is good however don't have much practical excercise, also personally feel is a bit short for data analytics learning.

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.