James is a product analyst at Dun & Bradstreet in NY, developing customer acquisition solutions and custom analytics on behalf of B2B advertisers. His background is in math and psychology, and he has over 8 years of experience in finance and marketing. In his spare time he works on machine learning-oriented projects on human motivation and performance in endurance events. He is a big fan of disruptive education and is himself a GA alumni.
Intro to the Data Science Community
Join General Assembly for a free orientation to the local Data Science community.
This 10-week course will teach you how to use large datasets to make critical decisions.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.