National Society of Black Engineers

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Data Management & Visualization with Data Carpentry
Thursday, Sept. 28, 2017, 8:00 a.m. – 5:30 p.m.

This workshop will give learners hands-on experience with tools important for data management and analysis.  The goal of this workshop is to help attendees learn how to work more efficiently with data, and give them an introduction to programming in R.   By the end of the workshop, learners will demonstrate how to load data, conduct analyses, and produce basic visualizations.  They will also be taught best pracrices for data management to enable reproducibility.  

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About the Instructors


Christina Koch

Christina Koch is a research computing facilitator in the Center for High Throughput Computing (CHTC) at the University of Wisconsin - Madison. She has an academic background in mathematics and diverse experiences in computing, education, and online collaboration, including teaching software and data skills workshops with international non-profits Software Carpentry and Data Carpentry. As a facilitator with CHTC, she works with researchers to expand and then transform their work using the power of large-scale computing. One of her favorite facilitation activities is teaching, especially applying effective communication and educational methods to convey complex technical topics.



Karl Broman

Karl Broman is Professor in the Department of Biostatistics & Medical Informatics, University of Wisconsin-Madison. He is an applied statistician working on problems in genetics and genomics, with a particular focus on meiotic recombination and the genetic dissection of complex diseases in model organisms. He develops the R package, R/qtl (



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