How to Become a Data Scientist: Galvanize Information Session & Happy Hour

Jun 15, 2017 · San Francisco, United States of America

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

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


6:00pm: Doors open, snacks & drinks, mingling with students & instructors

6:25pm: Overview of Masters of Science in Data Science program and curriculum 

              Overview of Data Science Immersive program and curriculum

7:20pm: Panel of faculty and staff and Q&A with faculty and staff

8:00pm: Tour of Galvanize classrooms, pairing stations, and other learning spaces (optional)

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:

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:

If you have questions about our Data Science programs, please feel free to reach out to our Admissions [masked] anytime. 

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