Since this course is about practice, more impetus should be given on practising the concepts. The concepts should have been taught in 'Marketing Analytics in Theory' course.

For me it was amazing to learn about Visualization. I had never thought of how important is to find the appropriate charts to represent insights that talk by themselves

I learned a lot about how to actually apply what I learned in the digital analytics in theory. However, there was a lot of repetition, which could have been avoided.

I found this valuable both in terms of the aspects of Marketing but also the elements of critical thinking and communication which in my view are equally important.

There should be a real project where we could really build something useful, e.g. conduct an analysis using R and the jupyter notebook and create a report!

This course is a good course to learn some basic theory about marketing analysis process. Maybe not so practical but it's very friendly to the beginner.

I think this module should have included a bit more stories just like the first module of this specialization to make it more compelling and engaging.

Interesting course with great insights on web analytics. It will be good if there were some assignments where we could execute some analytics concepts

This course it is good if you are looking to see the big picture, but if you are looking something more in deep this is not the right course for you

East to understand. Special thanks to the lecturer. Although Most of the links on were not working and needed special permission to access.

This course is acceptable for basic practices. Highly recommended for those who want to take first dip into the Marketing Analytics world.

Great introductory course for those looking to familiarize themselves with the overall thought process behind analytics and visualization.

Great information , but it was harder to understand or engage with analytics process in real time specially in the using of tools process

it's very much the same style as Theory, except a bit denser. still. I really enjoyed the material and Professor Hartman's approach to it

Great course to go for. All concepts explained in a simple and understandable manner. Hope to make use of the same in professional part.

I enjoyed this course. However, the demo about R language was not easy to understand. Overall is a good learning material and exercise.

The course is excellent. 4 out of 5 b/c I think the tidy data section could be clearer. Kevin Hartman is terrific. Great peer feedback.

All courses have their benefits. this one had fewer benefits than the second course in this series but still a good one to go about

The only issue I have with this course, is that I consider it should be updated with more recent examples, readings, and such.

Good course - would have been good to have some exercises where an actual analysis was completed using the principles learned.

Practical, Concise and Clear.

I believe it got me the tool to better tell story through data analysis and visual cues .

THANKS

To put more context here, I think you can expand a little more what are you teaching; especially in the data analysis part.

Great course, however some points could be improved because sometimes it seemed just a repetition from the theory one.

Great course with a quick introduction using an excellent framework in order to address Data Analytics at web.

Very informative. really liked the professors pace and the way the break down of the different MAP process.