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Developing Data Products に戻る

ジョンズ・ホプキンズ大学(Johns Hopkins University) による Developing Data Products の受講者のレビューおよびフィードバック



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....




This is a great introduction to some of the many ways to present your data. It's probably the easiest course in the specialisation but shows off an impressive array of widgets and gadgets.



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


Developing Data Products: 326 - 350 / 415 レビュー

by Iain L


Interesting, practical course. Gives a broad overview of R Markdown, Shiny, interactive plots (Gvis/Plotly), incorporating maps via Leaflet and creating your own training courses.

by Luiz E B J


The content is very interesting, brings a lot of knowledge to develop good presentation and analysis. Could me more focused in just one option to go further an deep. Recomend!

by Johnny C


I have learned a lot. The course is simple and very useful. Maybe the assignments should improve because the directions are a bit vague, but in general I liked it.

by Mohammed H


I have learned a lot of things after completing this course, like how to build a shiny app by myself and how to use leaflets and plot a graph. Thanks, coursera

by Julian J


Although all coursera courses are same, the peer assessment is very useful for this course. It's very helpful to see products made by other people.

by MD A


Would be nice to add some optional references, reading materials or videos covering "Creating Data Products with Python and Python stacks"

by German R M S


Excelente curso, 4 estrellas debido a que las instrucciones para revisión no son tan claras y los compañeros revisan de forma subjetiva.

by Johan J


Awesome course. Overview of all the things you need to become part of the data science community in terms of contributing and sharing.

by Jorge L


Excellent content. I was expecting more examples related to the industry, such as data products for data journals, telcos, etc.

by Federico G


Really good course, but for the time invested I think they could have gone a bit deeper in some areas. I enjoyed it though :)

by Deleted A


The course is simple yet useful. With very little knowledge about web development you learn to do some cool stuff.

Well done!

by Erik P


Great overview of possibilities to interactively present your data!

The provided written material could be more in depth.

by Kristian G W


I really like the new version of this. It mixes a lot of tools, but most are useful. It was fun doing the assignments.

by Manuel E


Some parts could be dropped and devote that time to develop the content of others beyond scratching the surface.

by VenusW


Really Interesting class, interactive app/plot is so much fun. Great to be able to make creative stuff myself.

by Chonlatit P


Great course. but I think some lesson should be together in one week and add presentation lesson more.

by matthieu c


I've never had an introduction to online application, so I found the course extremely interesting.

by Robert W S


Great introduction to interactive plotting, mapping, and shiny. Deeper examples would be helpful.

by Lucas


A very straightforward course on how to build fast and useful applications fora broader audience.

by Christian B


Nice course. Not on the same level the some of the other classes but it teaches some nice tools.

by Eric J S


I learned what I wanted to get through this class. I didn't learn most of it in the class.

by Marcus S


Interesting course showing some of the possibilities for visualising and publishing data.

by Bruno H


Nice course. Developping a web app in R is not exactly mainstream, but I learned a lot.

by Md F A


Good learning experience. I'd love to see little more detail work assignments.

by Francisco J R A


Interesting course because you learn how to develop applications in real time