Are you looking for:
- better ways to organize spreadsheet data
- tools to speed up cleaning up tabular (spreadsheet) data
- an alternative to commercial statistics software (R)
- how to create data visualizations in R
- using relational databases to manage data
If any of these are of interest to you, then a Data Carpentry workshop may be what you are looking for. Edward Davis (Geology) and the UO Libraries are hosting a a remote broadcast of a session taking place at University of California Museum of Paleontology this week.
What: Data Carpentry workshop
When: this week March 3 – 4, from 8 to 4 pm each day
Where: Knight Library (limited seating; registration required). This will be a remote broadcast of a session taking place at University of California Museum of Paleontology. Assistants will be available to provide onsite support at the University of Oregon.
Registration: http://www.eventbrite.com/e/university-of-oregon-remote-data-carpentry-workshop-tickets-22175369126
Data Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data. We will cover data organization in spreadsheets, data cleaning, SQL, and R for data analysis and visualization. Participants should bring their laptops and plan to participate actively. By the end of the workshop learners should be able to more effectively manage and analyze data and be able to apply the tools and approaches directly to their ongoing research.
More about Data Carpentry
In many domains of research the rapid generation of large amounts of data is fundamentally changing how research is done. The deluge of data presents great opportunities, but also many challenges in managing, analyzing and sharing data.
Data Carpentry is designed to teach basic concepts, skills and tools for working more effectively with data. The workshop is aimed at researchers at all career stages and is designed for learners with little to no prior knowledge of programming, shell scripting, or command line tools.
More information on the workshop: http://www.datacarpentry.org/2016-03-03-ucmp/
Local contact: Prof. Edward Davis (edavis@uoregon.edu)
