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Galvanize Data Science Immersive Info Session – Seattle
February 15 @ 6:30 pm - 8:00 pm
Join us and Galvanize staff for a Data Science Immersive Info Session to learn more about our 12-week immersive data science training program in Seattle, Washington!
This program is for people who are serious about becoming data scientists. Over the course of 12 weeks, you’ll learn the tools, techniques, and fundamental concepts you need to know to make an impact as a data scientist. You’ll work through messy, real-world, data sets to gain experience across the data science stack: data munging, exploration, modeling, validation, visualization, and communication. Our unique setting in the Galvanize community of startups and tech companies is the perfect place to learn and expand your network!
6:30 – 7:15 PM : Course Overview, Admissions Process, Scholarship Information, Financing Options
7:15 – 7:30 PM : Question/Answer
7:30 – 7:45 PM : Individual Question/Answer and Mingling
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:
Education – part-time and full-time training in web development, data science, and data engineering
Workspace – whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to supporting your company’s growth
Networking – events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences
To learn more about Galvanize, visit galvanize.com.
If you have specific questions regarding our Data Science Immersive course, please reach out to our Admissions Advisor, Lauren Lark at firstname.lastname@example.org.
**By registering for this event, I understand that I am opting to receive electronic communications from Galvanize. By doing so, I am expressly overriding any prior opt-out I may have previously made to Galvanize. I understand that I can opt-out at any time.