Great!

good

good

Good

good

Good

Hard

good

good

good

God

ok

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Kevin provided a great structure, fundamental considerations required for marketing analytics. This course (as it says in the very beginning) won't help you to get hands-on. But if you are a hands-on analytics practitioner, looking forward to expanding your domain knowledge - this course is for you. There are some differences from its Theory counterpart - where it talks about the underlying implementation-side considerations, how to create better visuals.

However, the Case Study part must be improved. The one present, I would say - is not even coherent. In courses like this, people wait for this meaty part - and the one presented here is underwhelming. It does not show a flow of a consistent example - how you go from goals to metrics to data sources to aggregations to insights. You start with one example and drift to another. The chart you show here is impressive - but it does not tell a story - provide an insight connected to the company. Where is the story in the analysis presented?

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 The course materials seem very out of date considering how much things change in the digital age.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.

Quiet interesting presentation of everything, I was impressed at first and graded 5 stars, however, after just one lesson of Prof. Mike Yao in Digital Media and Marketing Strategies I got better understanding of research and data then I got from both courses of Prof. Kevin Hartman. Course is still very good, defiantly worth seeing, but it's lacks in practical explanations so you are kind of still in a fog after it.

The course is interesting. I find the information really useful. However, the video lessons were way too short and it didn't have enough opportunities to practice. I think this course could be a lot more, it could have exercises to help choose the best ways to present data, it could have more study cases with in-depth knowledge, and it could also have better tests that are more carefully structured.

leanred the 4 steps in a data project: campaign goal, data collection methods and types of data. Analysis process (descriptive, inferential, exploratory, causal, predictive - most difficult). Better storytelling/visualization skillsets.

Prospect of digital marketing and dangers/concerns of digital marketing.

But overall more practice in analytical mindsets would be even better!! Thank you professor

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 was very excited to do this course when I had read about it. But when I actually started to learn, that time I was quite disappointed with this. Because they did not provided more practical examples, and the syllabus was almost repeated . But that's fine it also helped me to learned many things.

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.