This course provides an introduction to using Python in a data analysis and research environment. No prior programming experience is required. Participants will learn the basics of the Python language and how to use Jupyter Notebooks. Through a series of hands-on exercises, participants will learn to load data using the pandas library, create plots and data visualizations using the matplotlib library, and perform numerical analysis using the NumPy and SciPy libraries. We will briefly discuss the statsmodels and scikit-learn packages for regression and machine learning.