Farewell to Shiny Appreciation month

[This article was first published on RBlog – Mango Solutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

As we come to the end of Shiny Appreciation month we hope that the blog posts and tweets have encouraged more of you to start using Shiny to create your own interactive web applications.

If you need some help however with getting started with Shiny, or with more advanced functionality such as understanding reactivity, making plots interactive, debugging your app or writing reusable Shiny code, then the good news is that we have three new Shiny training courses.

These one-day courses run from getting started right through to best practices for putting Shiny into production environments.

The courses are being run publically in London in July and September:

  • Introduction to Shiny:    17th July
  • Intermediate Shiny:        18th July
  • Intermediate Shiny:        5th September
  • Advanced Shiny:              6th September

Alternatively, we can deliver the courses privately to individuals or groups if preferred. We will also be offering a snapshot of the materials for intermediate Shiny users at London EARL in September.

Importantly, all of these courses are taught by data science consultants who have hands-on experience building and deploying applications for commercial use. These consultants are supported by platform experts who can advise on the best approaches for getting an application out to end users so that you can see the benefits of using Shiny as quickly as possible.

For further details please take a look at our training page or contact us at [email protected]

 

To leave a comment for the author, please follow the link and comment on their blog: RBlog – Mango Solutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)