Learner Reviews & Feedback for Developing Data Products by Johns Hopkins University
About the Course
Top reviews
SS
Mar 04, 2016
This is a great introduction to some of the many ways to present your data. It's probably the easiest course in the specialisation but shows off an impressive array of widgets and gadgets.
RS
Nov 19, 2018
This course was amazing, it could definetly be more deep in each of the subjects, but gives you so much practice in tools that are very useful in the day by day of a data scientist
101 - 125 of 338 Reviews for Developing Data Products
By Vincent C
•Oct 20, 2017
Good course on Data Products, I learned a lot about R Packages, shiny and the leaflet library.
By Pradnya C
•Mar 04, 2016
Loved this course
By David S
•Feb 07, 2016
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.
By Lei M
•Oct 03, 2017
I enjoyed this variable of informton and possbltes。Real good stuff！
By Daniel R
•Jun 28, 2016
Great Course!!!
By Dwayne D
•Jun 03, 2017
Very nice overview of available tools for high quality plots, reports, presentations and interactive web apps.
By Giovanni V
•Apr 10, 2016
I greatly enjoyed this course. It helped me to improve my skills in the field of data science.
By Yuchao M
•Feb 11, 2017
This course is very hands-on and good for building quick prototypes.
By Mohd R B M B
•Mar 02, 2016
Developing apps with Shinyapp is so much fun
By Y. B
•Mar 01, 2016
Very interesting class. Need to watch all external (shiny+slidify) recommended tutorial to fully masterize the subject.
By Dheeraj A
•Feb 08, 2016
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.
By Harris P
•Feb 16, 2017
Was a highly pleasurable and rewarding experience for me.
By Eufrásio A C J
•Aug 05, 2017
Now, i'm analytical thinking
By Carlos A
•Apr 21, 2017
Excellent course!!!
By Leandro M
•Jan 29, 2017
the course i enjoyed most in this specialization. Learning to use plotly, leaflet and other tools was great
By Sathya K
•May 16, 2017
Nice course
By Divvya.T
•Nov 02, 2017
excellent course to take!
By Regis O
•Dec 31, 2016
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.
By kathy0305
•May 04, 2017
Truly Enjoyed this course, Thanks
By Artem A
•Apr 14, 2016
Noiiice!
By Srikumar G
•Dec 26, 2016
very good course to understand on how to present your work in a very structured and repeatable manner.
By Ghazouan S
•Dec 11, 2016
One of the best course.
By Patrick B
•Mar 18, 2017
Great
By UDBODH
•May 14, 2016
Easy tools to use and powerful
By 罗星
•Dec 27, 2016
Very good!
