![]() R-Ladies Global Team, MetaDocencia Core Team & LatinR Chair Call for Ideas / Topics to discuss in future meetups (5 min).Package Updates (5-10 min): Here we cover major updates to existing popular packages and we update the audience on new and improved internally developed packages.Company Data Science Updates (5 min): We discuss data warehouse and system updates that might impact our internal community.Intro (3-5 min): We provide an overview about the guest presenter we will host and their presentation topic (always an internal R user that is doing something neat with R that could benefit our R programming community).In my prior role, we hosted a monthly R user group with the following agenda: Senior Manager, Data Ops & Analytics at Bloomreach Listen-in to this full conversation on building community in the Data Science Hangout with Tori Oblad, Enterprise Data & Analytics Officer at WaFd Bank Do you have a standard format you follow for meetups? What does a typical event look like? Javier Orraca: Ask those who come to an event (or those who express interest) what they would like to learn and also what they can teach others.Build a blog to share events and past sessions with people interested in joining.Introduce Shiny apps for business users to open up their eyes to the power of data science (or simply a code-first approach to business analysis) By automating their teams' work, you will likely see a lot more interest from others to learn.If you can get them to learn together on a cadence, they form relationships, understand each other's problems and learn data science at the same time. ![]() You can create these cohorts with business analysts and pair them up with people who may be in more technical data analysis roles.
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