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
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!
This course was amazing, it could definetly be more deep in each of the subjects, but gives you so much practice in tools that are very useful in the day by day of a data scientist
Course content was helpful. Some confusion in assignment questions not aligning with what was covered in lectures where it would have helped to clarify that was intentional.
I appreciated the wholistic approach of presenting the information via GIT, R shiney server and making the slides.... all very useful going forward.