Ask Me Anything - Data Science & Machine Learning w/Sean Reed
mer. 24 octobre à 00:30
Please RSVP for this event via link below:
https://www.eventbrite.com/e/ask-me-anything-data-science-machine-learning-wsean-reed-tickets-51205076763?aff=meetup Join us for a discussion about how to start a career in data science. You'll leave this event with a clear perspective and structured options for beginning your career in this quickly-growing field. You will also have a list of the best resources available to use to plan your studies with Galvanize! This program is for people who are serious about becoming data scientists. Throughout the course, 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! Find out more at https://new.galvanize.com/new-york/data-science Agenda 6:30pm: Course Overview, Application Process, and Financing Options 7:30pm: Question & Answer. Chat with Instructors, Students and Galvanize Staff Please bring your laptop 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: 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 support 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 Department at [masked] or (917)[masked].
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