RideAustin Data Analysis Hackathon

https://www.facebook.com/GalvanizeAustinTX

Galvanize Austin

The introduction of rideshare options in Austin has lowered drunk driving rates and produced new jobs, but what else do we know about rideshares? <A HREF="http://www.galvanize.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Galvanize</A>, <A HREF="https://data.world/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">data.world</A>, and <A HREF="http://www.rideaustin.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">RideAustin</A> have teamed up to bring the data to YOU.
Join us for a 6 hour hackathon using a RideAustin dataset (to be released on data.world one day before the hackathon). Teams will be assigned, and each team can either create their own question to answer or use a sample question provided at the event.
 
<H3>Get Published & Win Prizes</H3>
Data discoveries will be published on data.world. Also prizes will be given to winners of three categories:
<OL>
<LI>Best question: Given to the team who attempts to tackle the most interesting question.</LI>
<LI>Best answer: Given to the team who successfully answers their question in the most convincing way.</LI>
<LI>Best visualization: Given to the team which the most compelling and informative visualization.</LI>
</OL>
<H3> </H3>
<H3>Agenda</H3>
10:00 am – 10:30 am: Arrive & Icebreakers
10:30 am – 10:40 am: Intro to the Dataset
10:40 am – 11:00 am: Evaluation Criteria (we will provide sample questions)
11:00 am – 11:15 am: Question Formation
11:15 am – 3:00 pm: Hacking Time (+ optional intro workshops)
3:00 pm – 3:20 pm: Present Findings
3:20 pm – 4:00pm: Winner Announcements & End
<H3> </H3>
<H3>Pre-requisites (what the audience should know to get the most value)</H3>
Anyone who can program in (most) any language, although teams using Python or R usually are most successful. Experts are very welcome too! Anyone who wants to learn more data science techniques or practice their techniques.
<H3> </H3>
<H3>New to Coding & Hackathons? </H3>
Fear not! We will be offering tutorials on-site. You can hop into a classroom, learn the basics, then jump right into the hackathon!
 
Sponsors:
<IMG SRC="https://cdn.evbuc.com/eventlogos/189895946/data.world2blogo.jpg"><IMG SRC="https://cdn.evbuc.com/eventlogos/189895946/logorideaustin1.12.png">
 
 
<IMG SRC="https://cdn.evbuc.com/eventlogos/189895946/galvanizegalvanizelogomarktextonly2.png">
About Galvanize
Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following:
<UL>
<LI>Education – part-time and full-time training in web development, data science, and data engineering</LI>
<LI>Workspace – whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to support your company’s growth</LI>
<LI>Networking – events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences</LI>
</UL>
To learn more about Galvanize, visit <A HREF="http://galvanize.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">galvanize.com</A>.

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RideAustin Data Analysis Hackathon

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