Keegan Hines is a Data Scientist with IronNet Cybersecurity, focusing on large-scale machine learning applications in cyber defense. He received a PhD from the University of Texas with a focus on computational statistics and Neuroscience during which time he taught multiple seminars on statistical methods, R, and Python. He is interested in challenging problems in machine learning and distributed computing.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.
Python for Data Science (Intermediate)
Learn to use Python as a powerful tool for analyzing and exploring data.