Research Computing and Data Workshop Series: Carpentries: R for Scientific Analysis

Thursday, May 27, 2021 1 p.m. to 4 p.m.

New in 2021! We are pleased to bring to the UCF Research community a series of workshops on scientific computing and research data management. These workshops are being jointly presented by UCF LibrariesUCF Graduate and Research IT, and UCF Advanced Research Computing Center (ARCC) and will feature some guest speakers from the broader research community. This series also includes Software and Data Carpentries workshops ( which have been made possible through the sponsorship of Dr. Elizabeth Klonoff, Vice President for Research and Dean, College of Graduate Studies.

The workshops are targeted to faculty, post-docs and student researchers and will be especially useful for those who are new to computational science and interested in learning about the resources available to them at UCF and beyond. Topics span the areas of research data management, high-performance computing, and programming for scientific analysis and will feature some sessions with hands-on learning.

***Please note that this workshop is broken into (2) parts over (2) days:***
PART I: MAY 27, 2021 | 1:00–4:00 p.m.
PART II: MAY 28, 2021 | 1:00–4:00 p.m.

The May 27-28 session details are:

Title: Carpentries: R for Scientific Analysis


Please note that at this time the workshops are only being offered to faculty, post-docs and students who are actively engaged in research as we have limited capacity due to the hands-on nature of the sessions.

The goal of this lesson is to teach new programmers to write modular code to perform a data analysis. R is used to teach these skills because it is a commonly used programming language in many scientific disciplines. However, the emphasis is not on teaching every aspect of R, but instead on language agnostic principles like automation with loops and encapsulation with functions. This R lesson is a translation of the Python version.

Presenters: Fahad Khan, Ph.D.


For the complete line-up of upcoming 2021 Research Computing and Data Workshops, please visit:

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