Ever wonder what it takes to break into Data Science? Come ask our alumni how they did it at our panel discussion and information session. Feel free to ask about our Data Science Immersive program, as well as general questions about the field of data science in general.

Agenda

Panelists for Upcoming Panel Discussions:

Jan. 27th:

Galvanize DSI Alumni: Nguyen Ngo, Data Analyst at Microsoft

Galvanize Data Science recent graduate: Tony Loiseleur

Galvanize Data Science Program Lead: Amanda Martin

A little about our Data Science Immersive Program:

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!

About Galvanize

Galvanize is the premier 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 Enrollment Officer, Amanda Martin (amanda.martin@galvanize.com).

**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.