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....

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A lot of useful libraries and APIs explained

I loved it, very interesting and interactive

Developing apps with Shinyapp is so much fun

Awesome Course Content

Brilliant Professor!

great exposure to the tools available in R

a great course, I know a lot of new stuff

great course with a lot of hands on work

Excellent course,very engaging and tough

Terrific for shiny and leaflet learners

Best coursera course I've taken so far!

Had a lot fun developing my Physics App

Excellent course! Highly recommended.

very useful to design a data product.

Top 3 course of this specialization.

Excellent content and very Practical

Great course, a lot of information!

Very good. Basic but very diverse

Truly Enjoyed this course, Thanks

Able to run app on line. Super.

I learned very useful techniques

Very practical and useful course

The final project was very cool!

many many new topics to learn .

Great overview of data products

Rewarding learning experience.

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Earn an Ivy League CS Master’s designed for non-CS majors

學生對约翰霍普金斯大学提供的数据产品开发的評價和反饋

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151 - 数据产品开发的 175 個評論（共 372 個）

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