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Learner Reviews & Feedback for Developing Data Products by Johns Hopkins University

4.6
stars
2,254 ratings

About the Course

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....

Top reviews

RB

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It is a very good course. There's quite some work, but the content isn't hard. Make sure you update your RStudio for all the features to work correctly

JC

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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.

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76 - 100 of 422 Reviews for Developing Data Products

By Dwayne D

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Jun 3, 2017

Very nice overview of available tools for high quality plots, reports, presentations and interactive web apps.

By Rishi G

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May 28, 2017

Really good course covering wide range of topics making it to be aptly called Developing Data Products course!

By Paul A

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Apr 14, 2016

The best course so far and pulls everything together, surprised how much I have learnt over the specilaisation

By Gregorio A A P

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Aug 26, 2017

Excellent, but I would be grateful if you could translate all your courses of absolute quality into Spanish.

By Leandro M

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Jan 29, 2017

the course i enjoyed most in this specialization. Learning to use plotly, leaflet and other tools was great

By Benjamin S

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Nov 28, 2016

Love this course. Many interesting features (Shiny App, Maps, etc.) that I will definitely use for my job.

By Partha S G

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May 7, 2017

I was a good exposure to data products building. Would be great to have something advanced on the topics.

By René S K

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Apr 16, 2017

Thanks to these courses, I program production planning and control software for the company I work for.

By Lauren B

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Mar 3, 2016

I loved learning how to build a Shiny application. I know this skill will serve me well moving forward.

By Raju G

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Dec 10, 2017

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

By Karthik R

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Aug 7, 2017

Excellent Introductory course that provides good understanding of how to go about developing products.

By Srikumar G

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Dec 25, 2016

very good course to understand on how to present your work in a very structured and repeatable manner.

By Francisco G

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Jan 7, 2018

I would dedicate more time to shiny and reduce the time of number of lessons devoted to RMarkdown.

By Juan P L R

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Dec 13, 2020

Excellent course to learn shiny, R Markdown, leaflet, plotly and other R data science products.

By Jared P

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Jun 24, 2017

Loved this course. Would recommend it. I particularly enjoyed learning Leaflet and Shiny Apps.

By Vincent C

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Oct 20, 2017

Good course on Data Products, I learned a lot about R Packages, shiny and the leaflet library.

By William R

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Jun 12, 2017

Had issues with RStudio and the TA/coursera was great to work with and troubleshoot the issue.

By Giovanni V

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Apr 10, 2016

I greatly enjoyed this course. It helped me to improve my skills in the field of data science.

By Jay Y

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Dec 6, 2021

Great course, thank you for making this a part of Data Sciences specialization certification

By Avinash K

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May 27, 2020

I feel well equipped for presenting statistical results after taking this course. Thank you!

By Evgeniy Z

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Apr 12, 2016

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

By Lei S

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Jan 3, 2018

Very interesting course. I spent me a lot of time because I always want to try new things.

By Eric S

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Jul 23, 2020

Great course. Covers a large range of topics, but is well-paced and easy to follow along.

By Raunak S

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Nov 25, 2018

a very good beginner level course for those learning how to develop Data Products in R.

By Nthabiseng M

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Jan 20, 2022

Great course, thank you to all the lecturers for taking time to teach us new skills.