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Avis et commentaires pour l'étudiant pour Développement de produits de données par Université Johns-Hopkins

4.6
1,879 notes
350 avis

À propos du cours

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....

Meilleurs avis

SS

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.

RS

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

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1 - 25 sur 349 Examens pour Développement de produits de données

par Idan R

Mar 10, 2017

very helpful and teaching. learning practical tools for producting data products. examples in the course are not very complex, but give a very good intro for several tools.

par Robert O

Jul 28, 2017

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.

par Bruno R d C S

Apr 20, 2019

this curious course teaches about tools and techniques for communication with audiences on data science. some tools are very interesting and deserve a deep research from the learner, this course is mostly informative about the potential of such tools.

par Raunak S

Nov 26, 2018

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

par Daniel M Á

Dec 15, 2018

Great projects

par Saah N T G

Dec 29, 2018

Awesome Lessons!

I learned how to build shiny application and today I'm very happy!

par Simon

Jan 17, 2019

A lot of useful parts for visualization here! plotly and shiny are super useful in a business context. swirl and leaflet a bit niche perhaps.

par César A

Feb 18, 2019

Demanding if you are not used to do this kind of things, but, worth It if you give yourself a time to get into it.

par Mohammad A

Jan 30, 2019

Great course, practical and very informative

par Premkumar S

Apr 10, 2019

Great course!! Was very excited with the whole process of learning to write an app and create something useful!! Thank You!

par João F

Mar 16, 2019

Excellent course (like the previous 8 in the specialization) and very useful for anyone working with data and involved in data storytelling. Brian (the teacher) does an awesome job explaining the concepts and how the functions and scripts in R work and interact with each other to bring about shiny apps and other visualizations. A big "Thank you!" to everyone who created this course!

par Adham A

Dec 22, 2018

I learned very useful techniques

par Julien N

Dec 25, 2018

discovery of amazing tools and possible applications of rstudio and additional packages.

good pace of the course

par Ehsan D

Sep 08, 2018

Very useful stuff, and nicely presented too by Brian Caffo.

par Aravindan K

Sep 11, 2018

The content is good and exposes to various tools and formats for building data products. Exercises for week 2 and week 3 were very simple though.

par Cristian G R

Sep 10, 2018

excellent course!

par Veene V

Sep 27, 2018

Awesome

par 刘晶

Sep 14, 2018

Very excellent course

par Daniiar B

Sep 29, 2018

A lot of useful libraries and APIs explained

par Sheila B

Aug 26, 2018

Very useful, very well taught. I enjoyed the project as well.

par Laro N P

Aug 15, 2018

Awesome course, maybe more complex examples, but is fine as an introductory program.

par Grigory S

Sep 01, 2018

nice aand easy. I do not know why you focus on creation of custom libraries withou any practical assignemens on it

par Saurabh Y

Oct 08, 2018

Very good course for creating your own data product

par B S

Oct 20, 2018

Good course. I liked it.

par Javier E S

Oct 03, 2018

Excellent course