Scott Little is a data scientist who likes working with physical sensor data. Recently, he completed a project that predicts solar power from satellite imagery and ground photometer sensors. He has a PhD in Physics from the University of Toledo, where he specialized in thin-film photovoltaic solar cells. For fun he enjoys cycling, dreaming, electronics, quadcopters, neurohacking and making things at Pumping Station: One, the local hackerspace.
Python for Data Science
Learn to use Python as a powerful tool for analyzing and exploring data.
Introduction to Python Programming
Learn all about Python, from how to get set up to writing your first script to learning what tools are available to build apps in Python.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.