Nice course and good classmates. It's very focus oriented and gives very good idea of Shiny, Rmarkdown, plotly and how to publish documents on github, Rpubs and other online sites. I learnt power of R

Compared to the other classes in the JHU Data Science specialization, this one is pretty laid back. It's useful information, and teaches a few nice tricks on how to present data analysis results.

This course lacked required information of help to get started. Now thanks to some posts by mentors i was able to successfully complete the Capstone project. Overall a very good experience!

Interesting topic, touching on many field. I believe it was quite informative as it applies on the previous modules knowledge into this one. However it didn't touch deeper on each topic.

Good overview of available tools. Lack of practice exercises makes preparing for quizzes difficult. However, the course project does a good job to get your feet wet with Shiny Apps.

Good course, but I felt it was a bit easy to get good marks on the assignments with a minimum effort assignment. Some of the ones I marked were very little to do with data-science.

Interesting, practical course. Gives a broad overview of R Markdown, Shiny, interactive plots (Gvis/Plotly), incorporating maps via Leaflet and creating your own training courses.

The content is very interesting, brings a lot of knowledge to develop good presentation and analysis. Could me more focused in just one option to go further an deep. Recomend!

I have learned a lot. The course is simple and very useful. Maybe the assignments should improve because the directions are a bit vague, but in general I liked it.

I have learned a lot of things after completing this course, like how to build a shiny app by myself and how to use leaflets and plot a graph. Thanks, coursera

Although all coursera courses are same, the peer assessment is very useful for this course. It's very helpful to see products made by other people.

Would be nice to add some optional references, reading materials or videos covering "Creating Data Products with Python and Python stacks"

Excelente curso, 4 estrellas debido a que las instrucciones para revisión no son tan claras y los compañeros revisan de forma subjetiva.

Awesome course. Overview of all the things you need to become part of the data science community in terms of contributing and sharing.

Excellent content. I was expecting more examples related to the industry, such as data products for data journals, telcos, etc.

Really good course, but for the time invested I think they could have gone a bit deeper in some areas. I enjoyed it though :)

The course is simple yet useful. With very little knowledge about web development you learn to do some cool stuff.

Well done!

Great overview of possibilities to interactively present your data!

The provided written material could be more in depth.

I really like the new version of this. It mixes a lot of tools, but most are useful. It was fun doing the assignments.

Some parts could be dropped and devote that time to develop the content of others beyond scratching the surface.

Really Interesting class, interactive app/plot is so much fun. Great to be able to make creative stuff myself.

Great course. but I think some lesson should be together in one week and add presentation lesson more.

I've never had an introduction to online application, so I found the course extremely interesting.

Great introduction to interactive plotting, mapping, and shiny. Deeper examples would be helpful.

A very straightforward course on how to build fast and useful applications fora broader audience.