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.

Developing Data Products

Developing Data Products
This course is part of multiple programs.



Instructors: Brian Caffo, PhD +2 more
87,262 already enrolled
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2,263 reviews
What you'll learn
Develop basic applications and interactive graphics using GoogleVis
Use Leaflet to create interactive annotated maps
Build an R Markdown presentation that includes a data visualization
Create a data product that tells a story to a mass audience
Skills you'll gain
- Category: Package and Software Management
- Category: Data Presentation
- Category: Data Visualization Software
- Category: Software Documentation
- Category: Plot (Graphics)
- Category: Interactive Data Visualization
- Category: Statistical Reporting
- Category: Data Visualization
Tools you'll learn
- Category: Leaflet (Software)
- Category: Rmarkdown
- Category: Web Applications
- Category: Hypertext Markup Language (HTML)
- Category: R (Software)
- Category: R Programming
- Category: Plotly
- Category: Shiny (R Package)
Details to know

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There are 5 modules in this course
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Showing 3 of 2263
Reviewed on 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.
Reviewed on 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.
Reviewed on Oct 9, 2019
Out of the other 8 modules, I personally liked this one the most. Here is where you put into practice what you've have learned so far. Great job guys!
