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The Carpentries teaches foundational coding and data science skills to researchers worldwide. These courses are offered to ARS staff looking to advance their computational skills sets in support of their research. ARS staff and skilled Carpentries instructors will be available during these hands-on trainings to facilitate your learning.
If you have a training request that is not being offered at this time, please complete this short training request form to let us know.
If you are interested in becoming a Carpentries Instructor, please email SCINet-training@usda.gov.
The SCINet Office, in collaboration with ARS’s certified Carpentries instructors, is offering a Carpentries workshop that will teach participants the Unix command line, version control with Git, and Python programming.
Unix command line and version control with Git - October 27 & 29, 1:00 PM - 5:00 PM ET
Programming with Python - November 3 & 5, 1:00 PM - 5:00 PM ET
This workshop will be held October 23-25, from 12:30-5 pm EDT.
The focus of the workshop is on working with genomics data, and data management and analysis for genomics research, including best practices for organization of bioinformatics projects and data, use of command line utilities, use of command line tools to analyze sequence quality and perform variant calling, and connecting to and using cloud computing.
The SCINet Office is collaborating with The Carpentries to provide a Geospatial Workshop. This workshop will provide instruction for working with geospsatial data using R.
ARS scientists Jonathan Shao and Amanda Hulse-Kemp, along with two other non-ARS instructors (Jacob Deppen, Preethy Nair), held a 2-day Software Carpentry workshop covering Shell, Git, and R for 20 USDA participants.
Wednesday, July 22, 2020
Instructor: Jonathan Shao - ARS, Amanda Hulse-Kemp - ARS, Jacob Deppen, and Preethy Nair
Instructors from The Carpentries with the help of ARS scientists Kathy Yeater, Anna Childers, and Steve Schroeder held a 2-day Software Carpentry workshop covering Shell, Git, and Python for 20 USDA participants.
