Learner Reviews & Feedback for Developing Data Products by Johns Hopkins University
About the Course
the utility of a data informed model, algorithm or inference. This course covers the basics of creating data products using Shiny, R packages,
and interactive graphics. The course will focus on the statistical fundamentals of creating a data product that can be used to tell a story about
data to a mass audience.
Top reviews
SS
Mar 3, 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 18, 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
401 - 423 of 423 Reviews for Developing Data Products
By Vaibhav S
•Nov 13, 2016
A bit fast paced as they teach so many things in a single week. But the stuff they teach is surely great and makes you appreciate the beauty of R
By Jesse K
•Dec 26, 2018
The concept itself was great, but there were numerous issues with the peer review exams, especially around the requirements.
By Shreyas G M
•May 3, 2016
This course isn't as clearly outlined or carefully prepared as the others in the Data Visualization specialization.
By Alvaro B
•Jan 18, 2016
I have not received yet my certificated and I can't see it in the list. Is there something wrong?
By Zhiming
•Oct 7, 2017
Not bad. But I feel that this topic is more for those who likes to develop web products.
By chris
•Oct 18, 2017
Good range of topics - updates to content would be useful --> eg http://jupyter.org
By Vital
•Sep 2, 2017
This course can be updated:
1) add swirl lessons.
2) add more video materials
By Aleksey K
•Feb 26, 2016
The course is OK, but I'd rather learned app development with Python or Java.
By Diego T B
•Nov 7, 2018
Interesting but I had to learn most of the things here by my own
By Michael K
•Feb 13, 2016
Lots of material in a short amount of time.
By Martin S
•Feb 26, 2016
Updated and entertaining!!
By Vijay B
•Feb 8, 2019
Review took too long
By Lucicleyton H d F
•Feb 6, 2019
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.
By Stefaan D
•Oct 28, 2016
I am a developer and know how to create advanced websites. This course has less use for me as in my day job i create sophisticated websites
By Lazar K
•Feb 14, 2017
I didn't learn many data science concepts in this class
By Brian F
•Aug 20, 2017
This was a fun course, but not particularly useful.
By Seth D
•May 23, 2016
seemed like a filler, nit are why this was included
By Joshua C
•Jan 17, 2018
peer reviewers are spastic mouth breathing idiots.
By Pedro M
•Jan 12, 2020
Heavy on boring videos!
By Alex s
•Feb 25, 2020
Not really challenging
By Robert H
•Jan 6, 2016
This review does not reflect the course content. The new Coursera UI makes it impossible to download transcripts or slides of the videos. Without these features, following the lectures is significantly more difficult, and I can't rate this course any higher than 1 star. I would rate it zero stars if that was possible.
By Stephen E
•Jun 27, 2016
To be honest I don't think this is worth the money.