NBIC Data Carpentry workshop (R)
*Please note that this workshop is now fully subscribed*
This Data Carpentry workshop organised by the Software Sustainability Institute is for researchers in the NBIC community who have little to no prior computational experience. It will teach fundamental data skills needed to conduct research, including:
- best practices for data management and organisation using spreadsheets,
- data cleaning using OpenRefine,
- data analysis skills in R.
During the workshop participants will learn best practices of data entry and management, data cleaning and basics of writing code in R to analyse and visualise data. The workshop will be delivered online (via Zoom) in an interactive and informal setting where participants will code along live with instructors and will have the opportunity to have many of their questions answered.
Please refer to the workshop website for:
- detailed schedule and training materials
- installations instructions and prerequisites for attending the workshop
- pre-workshop survey that should be completed by participants
Zoom connection settings will be shared with registered participants closer to the workshop.
Please also feel free to register for our NBIC Software Carpentry workshop (Python) to gain a variety of computational skills and best practices around creating research software and research data analysis in both R and Python. Both workshops offer basic, entry-level computational skills and attending a Data Carpentry workshop is not a prerequisite for doing Software Carpentry.
Participants are required to install certain software prior to attending workshops – please refer to individual workshop websites for installation instructions, detailed syllabus and agenda.
We will run pre-workshop ‘setup surgeries’ to help participants with any installation issues and to familiarise themselves with the video conferencing tool Zoom to be used for workshop delivery; it is highly recommended that you attend the relevant session(s).
Space is limited, so please register as early as you can. Please contact email@example.com if you have further questions.