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Learner Reviews & Feedback for Developing Data Products by Johns Hopkins University

4.6
stars
2,020 ratings
384 reviews

About the Course

A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand 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 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

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376 - 383 of 383 Reviews for Developing Data Products

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 Chan W Y J

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 07, 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.