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Developing Data Products- Johns Hopkins University – Coursera

0-6 Month Online
Beginner 6-Apr-2015
Online Business Analytics
Online Self Paced 1216


[su_tab title = “Description”]

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.


[su_tab title = “Program Structure”]

Weekly video lectures, quizzes and peer-graded projects.

Course Syllabus:

Students will learn how communicate using statistics and statistical products. Emphasis will be paid to communicating uncertainty in statistical results. Students will learn how to create simple Shiny web applications and R packages for their data products.




4 weeks (4-9 hours/week)

Important Date:

6th April, 2015- 4th May, 2015


[su_tab title = “Eligibility”]

Recommended Background :

The Data Scientist’s Toolbox, Reproducible Research and R Programming


[su_tab title =”Tools”]

  • R


[su_tab title =”Faculty”]

  • Brian Caffo, Phd
  • Jeff Leel Phd
  • Roger D. Peng


[su_tab title = “Contact”]

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