Live Presentation: My Talk at the CDC

February 27, 2017
By

[This article was first published on R – AriLamstein.com, 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.

Last Thursday I had the honor of giving a talk about my open source work to the CDC’s R Users Group. A big thank you to the CDC for having me!

As the creator of a software package that maps open data, it was wonderful to speak at the CDC: not only do they publish interesting data, they also frequently need to map that data!

My presentation was an hour long. This allowed me to cover a lot of the material that appears in my various courses. I also got to discuss several features that I don’t often have a chance to write about.

I thought that other people might enjoy this presentation as well. So this Thursday at 9am PT I will be running the presentation as a live webinar that is open to the public. You can attend by registering below.

Note: if you are interested in watching the talk but unable to attend live, I encourage you to register anyway: I will be sending out a link to the recording afterwards.

Register

The post Live Presentation: My Talk at the CDC appeared first on AriLamstein.com.

To leave a comment for the author, please follow the link and comment on their blog: R – AriLamstein.com.

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.



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

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)