Personal schedule for Mary Chang

Download or subscribe to Mary Chang's schedule.

Data
Location: E145-146
Hadley Wickham (Rice University / RStudio)
Average rating: ****.
(4.38, 21 ratings)
Learn the basics of R for data science: what makes R special as a language, and what R packages are most important for data manipulation, visualisation and modelling. Read more.
Geek Lifestyle
Location: D136
Damian Conway (Thoughtstream)
Average rating: ****.
(4.92, 40 ratings)
The class explores seven basic principles of good presentation, covering preparation, content selection, delivery techniques, and handling questions (or the lack thereof). It also explores a dozen simple and practical techniques for making your slides not suck. Read more.
Data, Healthcare
Location: D135
Jeremie Miller (Singly), Thomas Muldowney (Singly)
Average rating: ***..
(3.75, 4 ratings)
Learn how to build apps on a unified open source API combining data from Facebook, Twitter, Google, Github, Foursquare, Instagram, Tumblr, Linkedin, Fitbit, Wordpress, Runkeeper, Dropbox, and more, includes hands-on hack time to get a working dev environment up and running. Read more.

Sponsors

For information on exhibition and sponsorship opportunities at the conference, contact Sharon Cordesse at (707) 827-7065 or scordesse@oreilly.com.

View a complete list of OSCON contacts