Webinar: Q&A Panel Discussion with Alumni and Students Online

Join the webinar via http://info.nycdatascience.com/online-info-session

A wire connection is highly recommended. 

Join us on August 23, 7:00 pm for a live online Q&A panel discussion with our alumni and current students of the NYC Data Science Academy bootcamp.

Panelists will be announced soon.

This is a great opportunity for you to have an in-depth look at a day to day experience of the bootcamp as well as what to expect post-graduation from our bootcamp here.  Audience members will also be welcome to field questions for our members in bootcamp as well as have questions answered about the admissions process from our Student Success Officer, Drace Zhan.

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You can also apply to our fall or winter cohorts here.

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The meeting agenda will be as follows:

6:45 - 7:00 pm - Early check-in, meet, and greet

7:00 - 7:10 pm - Introduction about NYC Data Science Academy and What We Do

7:10 - 7:45 pm - Alumni and Student Panel Forum

7:45 - 8:00 pm - Questions from the Audience

See you all there and we wish you the utmost success on your journey to becoming a Data Scientist!

About the NYC Data Science Academy

Founded in 2014, the NYC Data Science Academy offers the highest quality in data science and data engineering training. Their top-rated and comprehensive curriculum has been developed by industry pioneers using experience from consulting, corporate and individual training and is approved and licensed by the NYS Department of Education.

The program delivers a combination of lectures and real-world data challenges to its students and is designed specifically around the skills employers are seeking, including R, Python, Hadoop, Spark and much more. By the end of the program, students complete at least five real-world data science projects to showcase their knowledge to prospective employers. Students also participate in presentations and job interview training to ensure they are prepared for top data science positions in prestigious organizations. For more information visit http://nycdatascience.com