This course provided a great number of methods used to deliver a data project.

This is the ninth course of a series of nine courses. The creation of the apps and the didactics is very good, I just needed to do the first course of the series to get to work better the fundamentals, since this course is a bit advanced.

I loved the experience and everything I learned, I would say it is well worth it!

Indispensable for anyone who wants to make a career in data science. I recommend.

very good

good course

In terms of practical data science in R, this is the most usefull course in the specialization. Here you can learn a lot about very important R packages such as shiny, MarkDown, leaflet,... Highly recommendable and very, very important.

this curious course teaches about tools and techniques for communication with audiences on data science. some tools are very interesting and deserve a deep research from the learner, this course is mostly informative about the potential of such tools.

Great course!! Was very excited with the whole process of learning to write an app and create something useful!! Thank You!

Interesting course but some topics don't have motivation

Excellent course (like the previous 8 in the specialization) and very useful for anyone working with data and involved in data storytelling. Brian (the teacher) does an awesome job explaining the concepts and how the functions and scripts in R work and interact with each other to bring about shiny apps and other visualizations. A big "Thank you!" to everyone who created this course!

A disappointing end to the pre-capstone lectures, taking the foot off the machine learning gas from course 8 with a detour back to tools and yet another Rmarkdown lecture. This basically covers building shiny apps (needed for the capstone), leaflet (maps), making presentations in RStudio - then gets lost in R Packages and Swirlify which are not very useful here. Some of this is needed in the capstone, but this course can be compressed and combined with earlier courses and make room here for something more substantial at this late stage in the specialization.

Demanding if you are not used to do this kind of things, but, worth It if you give yourself a time to get into it.

It is a nice class but many of the topic were already covered on previous class of the specialization. If this is the only class you will take, it is okay but it you are taking the whole specialization this is like doing few (not all) things again

This class includes a lot of introductory content an a good measure of hands-on practice. It also provides a great amount of resources and reference material for the learners to expand their knowledge further.

Review took too long

The syllabus is very unbalanced through the weeks. For example the week 01 could be split into two weeks . The week 04, in my view, is unnecessary.

Great course, practical and very informative

A lot of useful parts for visualization here! plotly and shiny are super useful in a business context. swirl and leaflet a bit niche perhaps.

Awesome Lessons!

I learned how to build shiny application and today I'm very happy!

The concept itself was great, but there were numerous issues with the peer review exams, especially around the requirements.

discovery of amazing tools and possible applications of rstudio and additional packages.

good pace of the course

I learned very useful techniques

Great projects

a very good beginner level course for those learning how to develop Data Products in R.

Really enjoyed this course. But you can only get as much as you put into it. A lot of students end up doing pretty mediocre apps that contain just enough to pass but never get creative. If you want to get as much as you can, then put some effort and create a nice app/presentations.