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學生對 约翰霍普金斯大学 提供的 数据产品开发 的評價和反饋

2,048 個評分
387 條評論


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....



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.


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


226 - 数据产品开发 的 250 個評論(共 386 個)

創建者 Michael S

May 19, 2018

Excellent course

創建者 Ricky B

Feb 12, 2017

Great experience

創建者 Geetha S

Dec 30, 2016

Very informative

創建者 Norberto O

Jul 29, 2018

Great course!!!

創建者 Jean P L

Jun 21, 2018

One of the best

創建者 Lopamudra S

May 01, 2018

Awesome course.

創建者 Daniel R

Jun 28, 2016

Great Course!!!

創建者 Daniel M Á

Dec 15, 2018

Great projects

創建者 Erich F G

May 13, 2018

Great class...

創建者 Humberto R

Feb 23, 2018

great overview

創建者 Praveen S

Feb 11, 2018

awesome course

創建者 Sèche J

Oct 22, 2017

more on plotly

創建者 Artem V

May 16, 2017

Update rating!

創建者 Muhammad Z H

Sep 15, 2019

learning alot

創建者 Shashwat K

Oct 15, 2018

great course.

創建者 Anang H M A

May 03, 2018

Great course!

創建者 Phanikumar T

Aug 28, 2016

Great Course.

創建者 Avirup N

Mar 07, 2016

Nice demos!!!

創建者 James E H J

Feb 20, 2020

Very useful!

創建者 Lun X

Apr 21, 2017

Great class!

創建者 Niharika J S

Jan 03, 2017

Great Course

創建者 Shailesh S P

Mar 31, 2020

good course

創建者 Subramanyan K P

May 27, 2019

good course

創建者 Sumeet M

Jan 13, 2018

Nice Course

創建者 Khairul I K

May 26, 2017

2 thumbs up