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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The NC TraCS Clinical and Translational Research Center (CTRC) will be conducting a 12 lead ECG training for research personnel.

This four-hour course will provide group instruction, practice sessions with a manikin and on a standardized patient, and a short test. Students who satisfactorily complete the course will receive a certificate of completion.

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Attendance for the full session is mandatory for satisfactory completion of the course. Please be aware students will be practicing electrode placement on a manikin and on a standardized patient (not on each other) during this course.

Participants taking the course must be UNC employees whose responsibilities include or will soon include performing ECGs for research studies. (UNC students wishing to enroll must also hold a paid research position as a UNC employee.)

Currently, we are not able to offer this course to clinical staff who may obtain training through the hospital, research staff who have not completed required ethics training, or those who are not UNC employees.

Completing this course does not qualify students as licensed personnel, nor does it qualify the student to take any certification exam. This course is not required by the University, rather it fulfills the 21CFR312 requirement that a PI be able to show that study staff are adequately trained to perform a study procedure delegated to them (12 lead ECG, in this case).

Please contact This email address is being protected from spambots. You need JavaScript enabled to view it. if you have questions regarding this training. If for any reason you cannot make a session, please notify Janette at least 48 hours in advance.

The HERO (Healthcare Worker Exposure Response & Outcomes) Program: An Online Community to Support Observational Studies, Randomized Trials, and Long-Term Safety Surveillance

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Emily O’Brien, PhD, FAHA
Associate Professor
Duke Clinical Research Institute
Duke University School of Medicine
Department of Population Health Sciences

Russell Rothman, MD, MPP
Senior Vice President, Population and Public Health
Director, Vanderbilt Institute for Medicine and Public Health
Vanderbilt University Medical Center

Learn More