Joshua Sung

Joshua Sung is recent graduate from the Data Science Immersive program at General Assembly. After taking part of the program, he sees the power of using data to inform decision-making; exploring the data to detect patterns, relationships and behavior of the data to build effective models; and tell a compelling story with the data. Before enrolling as a student at General Assembly, Joshua studied environmental policy at George Washington University for his Master's and earth science policy at Penn State University for his Bachelor's. Joshua enjoys reading the Washington Post, reading Kindle e-books, watching movies and TV shows on Netflix, and enjoying a cup of coffee at his favorite cafe with friends.

Previously (1):

Data Science Remote (Online)

In this part-time course from General Assembly, learn to build robust predictive models, test their validity, and clearly communicate resulting insights.