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
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Developing Data Products
This course is part of multiple programs.
Instructors: Brian Caffo, PhD
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1 week to complete
at 10 hours a week
Flexible schedule
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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
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Assessments
3 assignments
Taught in English
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There are 5 modules in this course
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SK
Reviewed on Aug 1, 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.
JN
Reviewed on Sep 1, 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.
VP
Reviewed on Apr 10, 2017
Nice course and good classmates. It's very focus oriented and gives very good idea of Shiny, Rmarkdown, plotly and how to publish documents on github, Rpubs and other online sites. I learnt power of R
