You cannot register anymore for this webinar

Mastering Data Preprocessing With Generative AI

Overview
Are you ready to move beyond the tedious work of manual data cleaning? In this one-hour webinar, Dr. Jerome Niyirora will demonstrate how to replace ad hoc fixes with consistent preprocessing techniques for handling missing values, encoding categorical variables, scaling, and feature engineering. He will demonstrate how to implement these steps explicitly in Python, then show how generative AI can help draft preprocessing code, and how cloud tools, such as Google Vertex AI, can support a more managed workflow where preprocessing is built into the platform and applied consistently at scale.

Webinar participants will receive an official verified confirmation of participation after the webinar that can be used toward CPA professional development requirements.
Duration
1 hour

About the Presenter
Jerome Niyirora, PhD, is an Associate Professor in the College of Health Sciences at SUNY Polytechnic Institute (SUNY Poly), where he teaches in the Health Information Management and Informatics programs and is the coordinator/director of the Health Informatics graduate program. He received his PhD in Systems Science from SUNY Binghamton (2013) and holds an MS degree in Industrial Engineering from SUNY Buffalo (2010) and an MS degree in Health Services Administration from SUNYIT (2006). His research interests involve integrating systems science, industrial engineering, and machine learning methods into the analytics and control of clinical processes to optimize healthcare systems. Dr. Niyirora has published in several peer-reviewed journals, including the European Journal of Operational Research, Naval Research Logistics, Medical Informatics and Decision Making, Health informatics Journal, Clinical and Translational Neuroscience, Advances in Social Work, Health Systems, Nurse Leader, and Online Journal of Issues in Nursing.​​​​​​​

Joining the Webinar
You can view this webinar from your computer, tablet or mobile phone.

Share this webinar