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学生对 Johns Hopkins University 提供的 Developing Data Products 的评价和反馈

4.6
2,262 个评分

课程概述

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....

热门审阅

JN

Aug 31, 2017

Brian Caffo is the best! No one could explain better than him. Congratulations for this excellent course, you are my inspiration to become a better data scientist.

SK

Jul 31, 2019

It is a good course provide neccessary stuffs for data science.You can skip week 4 as it is done previously in other courses . Small and good course.

筛选依据:

251 - Developing Data Products 的 275 个评论(共 425 个)

创建者 Ricky B

Feb 12, 2017

Great experience

创建者 Geetha S

Dec 29, 2016

Very informative

创建者 Norberto O

Jul 29, 2018

Great course!!!

创建者 Jean P L

Jun 21, 2018

One of the best

创建者 Lopamudra S

May 1, 2018

Awesome course.

创建者 Daniel R

Jun 28, 2016

Great Course!!!

创建者 Daniel M Á

Dec 15, 2018

Great projects

创建者 Erich F G

May 13, 2018

Great class...

创建者 Humberto R

Feb 23, 2018

great overview

创建者 Praveen S

Feb 11, 2018

awesome course

创建者 Sèche J

Oct 22, 2017

more on plotly

创建者 Artem V

May 15, 2017

Update rating!

创建者 Muhammad Z H

Sep 15, 2019

learning alot

创建者 shashwat k

Oct 15, 2018

great course.

创建者 Anang H M A

May 2, 2018

Great course!

创建者 PK

Aug 27, 2016

Great Course.

创建者 Avirup N

Mar 7, 2016

Nice demos!!!

创建者 Bill D

Nov 18, 2021

Great course

创建者 Jim H

Feb 20, 2020

Very useful!

创建者 Lun X

Apr 20, 2017

Great class!

创建者 Niharika J

Jan 3, 2017

Great Course

创建者 Shailesh P

Mar 31, 2020

good course

创建者 Subramanyan K P

May 27, 2019

good course

创建者 Sumeet M

Jan 13, 2018

Nice Course

创建者 Khairul I K

May 26, 2017

2 thumbs up