Online Training Program

Announcing an on-line course in biomedical big data for biomedical researchers!

Big Data Training for Translational Omics Research


The NIH “Big Data to Knowledge (BD2K)” program was initiated to enable biomedical research as a digital research enterprise.


We are pleased to announce the second on-line course in big data training for biomedical researchers. The course will begin on February 04, 2019 and end on April 19, 2019.


The on-line course was built to meet the needs of busy biomedical researchers who need entry-level training in big data science. The format of the course includes a combination of short instructional videos, tool demonstrations, and problem-based activities. The goal of the course is to build familiarity and basic competency with established tools and publically available resources to analyze and interpret genomic and genetic data. The course was developed to accommodate self-paced learning, especially for physician-scientists. However, applications will be considered from all qualified faculty, post-doctoral researchers, and post-prelim graduate students.


The cost of tuition for the on-line course is covered for accepted applicants!


The application deadline is extended to Thursday, January 31th, 2019.


The application link is closed. We are reviewing all submitted materials. You will hear from us in the week of Feb. 4th.



The Big Data Training at Purdue University (BigTaP) Group

Min Zhang, MD, PhD (Department of Statistics; Center for Cancer Research)

Wanqing Liu, PhD (Department of Pharmaceutical Sciences, College of Pharmacy; Department of Pharmacology, School of Medicine, Wayne State University)

Peter Pascuzzi, PhD (Purdue University Libraries)

James C. Fleet, PhD (Department of Nutrition Science; Center for Cancer Research)

Purdue University


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