Top 3 course of this specialization.

Excellent, relevant, and updated content and guidance through videos and assignments. If you work hard and use material from previous courses in the specialization you can start to feel how you are getting somewhere. With the technology we learned in this course I feel I can now provide usable products that provide interactivity and promote better understanding of complex data sets.

This is a very useful course in the Data Science Specialization that teaches us how to present the results of our data analysis using Shiny, Slidify and other R based data presentation tools. It also introduces open source charting APIs that we could use in our data analysis applications.

Best coursera course I've taken so far!

Awesome

Interesting ways to use R

Nice to learn making presentations & applications and hosting them on websites to share with the world

Very interesting course. I spent me a lot of time because I always want to try new things.

Loved this course

Great Course

This course is cooler than the title sounds. The emphasis is on developing data apps with Shiny. In my case, I had only part of a weekend to work hard on the course project, yet I was able to make a nifty little data app that even impressed a potential employer. Leave plenty of time for brainstorming ideas for the course project and you'll find it very rewarding too.

This was an exceptional course. The assignments and projects were thought provoking. Can we get some assignments/projects linked to this course so that we could apply our learning and earn some money as well?

Great open source tools for conveying results, without a lot of coding.

Good course on Data Products, I learned a lot about R Packages, shiny and the leaflet library.

I greatly enjoyed this course. It helped me to improve my skills in the field of data science.

Developing apps with Shinyapp is so much fun

Very interesting class. Need to watch all external (shiny+slidify) recommended tutorial to fully masterize the subject.

After several back to back dense, high paced, steep learning courses in the specialization, this course is a welcome break. Its light, interactive and has a certain calmness about it. It touches several topics like shiny, manipulate, googlevis and plotly. As someone who has taken all courses in the specialization, I always wondered, how do I show my analysis to someone in an enterprise production environment and not as offline pdfs generated from rmd files. This course attempts to answer that question.

This course is very hands-on and good for building quick prototypes.

Excellent course!!!

the course i enjoyed most in this specialization. Learning to use plotly, leaflet and other tools was great

excellent course to take!

This course is packed with rich content that draws on all of the data science concepts in the other 8 courses. The best part is leaning how to use Shinyio so it is easy to share R analysis and visualizations.

Good introduction to a wealth of great tools and to the concept of data products.

Quiz was good and challenge.I was near a frustation trying to built the presentaiton interactive for html at GitHub.