Odum Institute: Introduction to Python (online)

This course will be offered over two mornings (10/26 and 10/28), 3.5 hours per morning, via Zoom. Attendance is required as the course will not be recorded.

Course Summary:
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.

Instructor: Matthew Wigginton Bhagat-Conway, PhD
Matthew Wigginton Bhagat-Conway, PhD, is an Assistant Professor in the Department of City and Regional Planning and a consultant in the Odum Institute for Research in Social Science. His research interests are in travel behavior, urban transportation, and statistical methods for transportation data analysis. He is available to assist researchers with statistics and data analysis.

Additional Course Registration
- Registration will close at 12:01am 10/23/2022. No late registrations will be accepted.
- Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.

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