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Info Session & Happy Hour: Galvanize Data Science Immersive and Masters Programs

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  • Galvanize

    44 Tehama Street, San Francisco, CA (map)

    37.787365 -122.396507


  • *Remember: to sign up for this workshop, you must register via Eventbrite.

    Join us for an Info Session at our San Francisco campus to hear about our partnership with the University of New Haven's Masters of Science in Data Science program and our 12-week Data Science Immersive course.

    Galvanize faculty will share how we can prepare you for a successful career as a data scientist, outline requirements, and answer questions about the admissions process for both programs.

    Schedule:

    6:00pm: Doors Open, snacks and drinks

    6:20pm: Overview of Masters of Science in Data Science program and curriculum

    6:40pm: Overview of Data Science Immersive program and curriculum

    7:00pm: Q&A with faculty and staff

    About Galvanize/UNH Masters of Science in Data Science:

    Located in the heart of the San Francisco’s SOMA district, this 12-month fully accredited graduate program focuses on preparing you with the essential background knowledge, coding skills and direct industry experience needed to be a successful data scientist. Our faculty consists of expert practitioners and acclaimed academic researchers, while being delivered in an unprecedented applied learning environment. This degree is offered in partnership with the University of New Haven.

    Learn more here: http://www.galvanizeu.com/

    About Galvanize's Data Science Immersive:

    Formerly Zipfian Academy, Galvanize's data science immersive teaches both the hard and soft skills needed for a career in the data science industry. Students complete 8 weeks of structured curriculum solving problems with real data sets from industry and learning practical skills desired by hiring partners. The course includes a 3 week capstone project, interview coaching and practice, and introductions to partner companies.

    Learn more here: http://www.galvanize.com/courses/data-science/

    Don’t forget to register via Eventbrite!

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