About this Event
Technological advancements and efficient use of computational tools have made it possible to generate and store large amounts of heterogeneous and complex datasets in many disciplines, including public health, clinical, biomedical, and genomics. There is therefore increased demand for data analytics capabilities including artificial intelligence including (AI), and Machine learning (ML) to look at trends, predict outcomes, and make better clinical and health policy decisions. The Howard University Research Centers in Minority Institutions and the Public Health Informatics Technology for District of Columbia (PHIT4DC) program is pleased to announce VADSTI 4.0, Spring 2025 Training Series to the Howard University research community, the workforce in the District of Columbia and the surrounding region. The goal is to enhance data science capability and application by providing training in the foundations of programming and critical data analytic skills for planning and conducting research involving big data pertinent to biomedical and minority health and health disparities research.
This free Spring Training Series will cover topics including, Foundations of Data Science, Introduction to Python, Basic Statistical Concepts, Data Exploration & Visualization, Experimentation in Data Science, and introduction to algorithmic techniques in Machine Learning.
For questions, contact VADSTI at vadsti@howard.edu , phit4dc@howard.edu or John Kwagyan, Ph.D. at jkwagyan@howard.edu