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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

1,885 個評分
352 個審閱


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....



Mar 04, 2016

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.


Nov 19, 2018

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


76 - 数据产品开发 的 100 個評論(共 351 個)

創建者 Praveen S

Feb 11, 2018

awesome course

創建者 Falko K C

Apr 03, 2016

Excellent course, that helped me finish my own student project.

創建者 Pam M

May 19, 2016

Really enjoyed learning how to build a Shiny App, and see a lot of use for this in my work environment. The Slidify product was not as useful - after 3 months of working on the project, I moved from Slidify to RPres, and was able to complete the project in very little time.

創建者 Viditya T

Mar 31, 2018

Awesome Course and content

創建者 Harris P

Feb 16, 2017

Was a highly pleasurable and rewarding experience for me.

創建者 Eufrásio A C J

Aug 05, 2017

Now, i'm analytical thinking

創建者 Sathya K

May 16, 2017

Nice course

創建者 E. M

Aug 09, 2017

Love it!

創建者 Jean P L

Jun 21, 2018

One of the best

創建者 ooi s m

Jun 11, 2017

interesting course covering plotly, r markdown and shiny. love it

創建者 David P

Dec 18, 2015

The new platform is very versatile and easy to navigate. The page layout is much more clear. It is easy to navigate from course material to discussion boards.

I like the Quiz format, including expanding the number of choices for the multiple choice selections, but the grading was confusing. For Quiz 3, some questions came back with multiple "Well Done" comments, even when I had not selected the answer for which I was being praised. I also was told I made errors on the same question.... and this was after I answered the question (Question 2, on R generic functions) the exact same as I had answered it when I took the course earlier this year.

I was not a fan of not having to take a picture to submit work, so I am pleased that is no longer a requirement. I hope the typing pattern match is sufficient to affirm identity.

I have one comment on content specific to this class. Week 3 content lacks relevancy to the project and data products in general. I agree that knowledge of R packages, classes, and methods is an important part of understanding R. I am not sure where that fits in the Data Science curriculum as a whole, though. Maybe expanding the curriculum to include a second, more advanced R class, with a project to write our own methods, build an R package, or do something with yhat. That would assign relevant work to reinforce the lectures.

I would be happy to do further beta testing.


創建者 Alejandro B G

Feb 09, 2016

This Course was georgeous!!, i like the way of share my analisis, shiny rules!


Feb 28, 2016

Great course. Very practical and state-of-the-art contents.

創建者 Christian

Jun 14, 2018


創建者 Mani K

Mar 17, 2016

Awesome course really enjoyed doing the project.

創建者 Evgeniy Z

Apr 12, 2016

Nice introduction which allows to start using some tools to present results of the analysis.

創建者 Lee Y L R

Apr 10, 2018

Interesting! Learn to make interactive apps and slides!

創建者 Romain F

Apr 19, 2017

Great practical course !

創建者 Anang H M A

May 03, 2018

Great course!

創建者 Jair G

Jan 20, 2017

Top 3 course of this specialization.

創建者 Pablo A

Apr 06, 2017

Excellent, relevant, and updated content and guidance through videos and assignments. If you work hard and use material from previous courses in the specialization you can start to feel how you are getting somewhere. With the technology we learned in this course I feel I can now provide usable products that provide interactivity and promote better understanding of complex data sets.

創建者 Nirav D

Apr 03, 2016

This is a very useful course in the Data Science Specialization that teaches us how to present the results of our data analysis using Shiny, Slidify and other R based data presentation tools. It also introduces open source charting APIs that we could use in our data analysis applications.

創建者 Arnav D

Feb 02, 2017

Best coursera course I've taken so far!

創建者 Reinaldo d O M

Jun 05, 2017


創建者 Raju G

Dec 11, 2017

Nice to learn making presentations & applications and hosting them on websites to share with the world