Software Carpentry R – Frost Institute for Data Science & Computing

2-Day R Workshop 4/1-2/2020 Gables-CANX

After careful consideration, the 2-day Software Carpentry-R Workshop at the Gables campus previously scheduled for April 1-2, 2020 has been CANCELLED due to statewide precautions for the COVID-19 Coronavirus, and the State of Florida’s public health emergency declaration.

The Institute for Data Science and Computing is committed to the health and welfare of our attendees, sponsors, and speakers, and the community as a whole, and have decided to err on the side of safety.

We thank you for your interest in our program and ask you to stay tuned to our website for future dates. All registration links have been disabled. If you have questions or concerns, please call 305-243-4962.

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Register Now | Syllabus forthcoming

This workshop is designed to provide a foundation of basic concepts that all programming depends on, using R as an example. Trained instructors lead a comprehensive, hands-on overview of what is possible with R, using an example dataset. Go from reading data into R to data types, functions, conditional statements, loops, how to write in RMarkdown, as well as best practices for writing R code that others can understand and use.

Since the goal of this workshop is to bring you up to speed with data analysis, it would be incomplete without instruction on a shell as well as a version control system. The shell is important in building reproducible data analysis pipelines where your R scripts may be just one component, Git is an incredibly useful tool for version control, collaboration and management of your coding projects. This workshop will provide you with the basic computing skills and best practices needed to be productive in a small research team. The format is a mixture of short seminars and hands-on practical exercises, and participants are encouraged to help one another, and to try applying what they have learned to their own research problems during and between sessions.

This free 2-day workshop is capped at 35 participants, and is on a first-come/first-served basis.

Instructors: Tim Norris, PhD, Research Data Scientist | Cameron Riopelle, PhD, Data Services Librarian

NOTE: Please bring a laptop (any OS) and charging cable.

Wednesday and Thursday, April 1-2, 2020
9:00 AM – 4:30 PM Course Hours, Both Days

Richter Library, Learning Commons Flexible Program Space (1st Floor), Room #102-B, Gables Campus

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Software Carpentry-R Workshop 12/2-3/2019 RSMAS Campus

Register Now | Syllabus forthcoming

Topics covered in this Workshop:

The Unix shell
Version control with git
Programming with R

This Workshop is capped at 35 participants, and is on a first-come/ first-served basis.

Make yourself competitive in the job market
Take a personal project to the next level
Play with data

Trained instructors lead a comprehensive, hands-on overview of what is possible with R, using an example dataset. Go from reading data into R to data types, functions, conditional statements, loops, how to write in RMarkdown, as well as best practices for writing R code that others can understand and use. This workshop is designed to provide a foundation of basic concepts that all programming depends on, using R as an example.

WHEN

Monday and Tuesday, December 2-3, 2019
8:30 AM Registration | 9:00 AM – 4:30 PM Course Hours, Both Days

WHERE

Rosenstiel School of Marine and Atmostpheric Science (RSMAS)
Science Laboratory and Administration Building (aka SLAB) | Library, Map and Chart Room
4600 Rickenbacker Causeway, Virginia Key, FL 33149
You may park on the first level of the first building as you enter on the left, or, you may park in the lot outside the fence along the road.

INSTRUCTORS

Tim Norris, PhD, Research Data Scientist | Cameron Riopelle, PhD, Data Services Librarian

NOTE: Please bring your own laptop (any OS).

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Brought to you by the Graduate School, the Center for Cognitive Neuroscience and Aging, UM Libraries, and CCS, this 2-day workshop will provide you with the basic computing skills and best practices needed to be productive in a small research team. The format is a mixture of short seminars and hands-on practical exercises, and participants are encouraged to help one another, and to try applying what they have learned to their own research problems during and between sessions.