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

4.6
stars
2,144 ratings
400 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 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

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251 - 275 of 399 Reviews for Developing Data Products

By Shashwat K

Oct 15, 2018

great course.

By Anang H M A

May 3, 2018

Great course!

By Phanikumar T

Aug 27, 2016

Great Course.

By Avirup N

Mar 7, 2016

Nice demos!!!

By James E H J

Feb 20, 2020

Very useful!

By Lun X

Apr 20, 2017

Great class!

By Niharika J

Jan 3, 2017

Great Course

By Shailesh P

Mar 31, 2020

good course

By Subramanyan K P

May 27, 2019

good course

By Sumeet M

Jan 13, 2018

Nice Course

By Khairul I K

May 26, 2017

2 thumbs up

By Sathya K

May 16, 2017

Nice course

By Patricio C

Oct 24, 2016

Very useful

By Johnnery A

Apr 26, 2020

Excellent!

By Amit K

Jun 28, 2017

Wonderful.

By Daryl V D

Jun 19, 2017

Fantastic!

By 罗星

Dec 26, 2016

Very good!

By Kribhan M

May 31, 2016

Great work

By Luis M M R

Jun 5, 2019

very good

By jose r

Jul 5, 2018

excellent

By Jorge P

Jan 21, 2018

Very good

By sagar s

Sep 19, 2017

Too Good!

By João P S

Dec 3, 2016

Very good

By E. M

Aug 9, 2017

Love it!

By Artem A

Apr 14, 2016

Noiiice!