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.
ジョンズ・ホプキンズ大学（Johns Hopkins University）
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
- 5 stars68.27%
- 4 stars23.27%
- 3 stars6.47%
- 2 stars1.51%
- 1 star0.44%
DEVELOPING DATA PRODUCTS からの人気レビュー
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
I appreciated the wholistic approach of presenting the information via GIT, R shiney server and making the slides.... all very useful going forward.
Although it is an easy course to pass, it is very important in content. It teaches the finishing moves, the ones you'll need after all your hard work. 5-star without doubt.
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!