And we are ready for Volume 5! We want to thanks A1 and specially Stephan Wöber for all the support provided through the venue sponsorship.
In the next volumes we will host at various spots and communities where Data Science can provide a lot of value. Our first stop will be at WeXelerate in the Space 15 on the first floor.
Volume 4 was a lot of fun and a lot of interest and support for the keep-current project and also an elusive data-gathering session for the "Learning Data Science with Beer" project! It's time to continue supporting the different initiatives that the community is working on.
Learn Data Science with Beer: after collecting data (by drinking beer) at the last VDSG Cafe it's time to put the data to work by pitting Gösser and Ottakringer against each other. For those interested to dive deeper into the data this team will offer a hands on session. (For all the unitiated: this is no euphemism for drinking - we are actually gathering and evaluating data here :))
The keep-current project (http://keep-current.netlify.com/) has evolved even further and they are looking forward to hearing your feedback and ideas. Also Bernhard and Marco want to introduce their idea: DSJobs aims to analyze vacancies related to data science.
If you want to join any of them: Great! Also, you are welcome to come and share your own ideas with the community or simply explore for a while until you decide in which kind of project you want to be involved.
WHAT TO EXPECT
As always you can expect a relaxed environment with a significant number of peers to discuss Data Science and move to the implementation part. To all of you who aren't familiar with the DSCafe yet, have a look here: DSC Presentation (http://bit.ly/2ExZEL2). You can participate regardless of your experience in Data Science, just bring some enthusiasm, your computer and the willingness to talk to like-minded people around you.
Please let us know your email address in the mandatory field when RSVPing to facilitate the logistics.
• Please don't waste spots! Un-RSVP once you know you can't make it - spots are limited and there is a list of peers who'd love to claim your spot instead - thank you :)
• What we provide: A nice location, refreshments and snacks, Wifi, resources and coaching to support the 3 modes!
• What to bring: A laptop, headsets, writing utensils, collaborative mindset, willingness to apply Data Science and your ideas :)
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