SS
3 de mar de 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
18 de nov de 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
por Bolaji O
•4 de jan de 2020
It another great lecture in this specialization course. Simplified, understandable, and highly impactful. You'd learn A-Z of shiny app development.
por Aravindan K
•11 de set de 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.
por Simon
•17 de jan de 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.
por Massimo M
•9 de mai de 2018
One of the best course in the Specialization in my opinion. The assignment are extremely hands-on and leave you a lot of room for creativity.
por 李俊宏
•26 de out de 2017
I have learned a lot about how to work interactively with R. Using shiny and plotly, I found it very easy to work with data for freshers
por Carlos M
•17 de jul de 2017
R/Shiny was worth it by itself. Leaflet, R packages, Plotly and GoogleVis were just bonuses. A great introduction to some great tools.
por Omar V
•28 de abr de 2018
This course was excelent, I learn many skills to better explain my new discoveries. Thanks professors for sharing this great course.
por Nigel M
•10 de out de 2017
good introduction to developing R presentations and shiny apps. very useful to know for deploying data products to business users
por Anna-Lea L
•7 de abr de 2020
A step up in data visualization, and data interaction. I enjoyed the course, and have the feeling I learned quite nice things!
por Mertz
•27 de abr de 2018
Good course. Just the right dose to understand how to work with well known product for building and sharing data science works
por Premkumar S
•9 de abr de 2019
Great course!! Was very excited with the whole process of learning to write an app and create something useful!! Thank You!
por Luis A
•3 de mai de 2018
Excellent course very useful material. A little bit of HTML and CSS would have been useful to make better presentations.
por Kevin S
•2 de mar de 2016
This one's a keeper -- learning to do both Shiny apps and Slidify/RPres will be quite useful in the near future. Thanks.
por Michael M
•19 de fev de 2018
I especially enjoyed learning how to use the Shiny package. Being able to turn my r code into a webpage is really cool.
por Yohann B
•1 de mar de 2016
Very interesting class. Need to watch all external (shiny+slidify) recommended tutorial to fully masterize the subject.
por Javier A D
•22 de jun de 2018
Quiz was good and challenge.I was near a frustation trying to built the presentaiton interactive for html at GitHub.
por Jim B
•3 de jul de 2017
Great overview of powerful visualization tools! Section on creating R packages will be invaluable for collaboration!
por César A C
•18 de fev de 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.
por Grigory S
•1 de set de 2018
nice aand easy. I do not know why you focus on creation of custom libraries withou any practical assignemens on it
por Marcus S S
•26 de fev de 2017
Really nice course! It extends our vision of what is possible to build as a data scientist. Strongly recommended!
por Julien N
•24 de dez de 2018
discovery of amazing tools and possible applications of rstudio and additional packages.
good pace of the course
por Deleted A
•3 de jan de 2020
Excellent course! To learn how to build of App in R by using Shiny is differential for a Data Science Analyst.
por Dwayne D
•3 de jun de 2017
Very nice overview of available tools for high quality plots, reports, presentations and interactive web apps.
por Rishi G
•29 de mai de 2017
Really good course covering wide range of topics making it to be aptly called Developing Data Products course!
por Paul A
•14 de abr de 2016
The best course so far and pulls everything together, surprised how much I have learnt over the specilaisation