Welcome to RStudio Community Monthly Events Roundup, where we update you on upcoming virtual events happening at RStudio this month. Missed the great talks and presentations from last month? Find them listed under ICYMI: May 2022 Events.
You can subscribe to the Community Events Calendar so that new events will automatically appear on your calendar. Please note that by subscribing, all of the events in the calendar will appear on your own calendar. If you wish to add individual events instead, please use the links below.
We can’t wait to see you there!
The Data Science Hangout is a weekly, free-to-join open conversation for current and aspiring data science leaders to connect and chat about some of the more human-centric questions around data science leadership. These happen every Thursday at 12 ET with a different leader featured each week.
The conversation is all audience-based and you can jump on whenever it fits your schedule. Add the weekly hangouts to your calendar on add to calendar and check out the website with all the recordings.
A few other things:
We also host industry meetups for teams to share the work they are doing within their organizations, teach lessons learned, and network with others. Join the group on Meetup.
If you’re interested in sharing your work at a Meetup (or just starting to consider it for a future date down the road!), please fill out the speaker submission form. We’re always looking for a diverse set of speakers — if you are a member of a group that is underrepresented in data science, including people of color, those with disabilities, elders/older adults, LGBTQ folks, and women/minority genders, we highly encourage you to submit!
RStudio Academy is a new training program for professional data science teams. In this post, we explore the pillars that make Academy a tailored and effective experience for data scientists.
The Designing the Data Science Classroom workshop at rstudio::conf will equip educators with concrete information on content, workflows, and infrastructure for teaching data science.