Data Carpentry - Python (2 days)
Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. This hands-on workshop uses a tabular ecology dataset and teaches data cleaning, management, analysis and visualization using Excel, Openrefine, SQL, and Python. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
IMPORTANT: This workshop is two parts: 10/10/22 and 10/11/22. Attendance at the first session is a prerequisite for the second.
For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".
Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: 114a Ellis Library
When: Monday October 10 and Tuesday October 11, 2022. 9:00am - 4:30pm
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed here).
Related LibGuide: Digital Scholarship Resources by Steven Pryor
- Dates & Times:
- 9:00am - 4:30pm, Monday, October 10, 2022
9:00am - 4:30pm, Tuesday, October 11, 2022
- 114A Ellis Library
- Software Carpentry
Topics covered in this workshop include:
- Data Organization in Spreadsheets
- Data Cleaning with Openrefine
- Data Management with SQL
- Data Analysis and Visualization in Python
Digital Scholarship Librarian
University of Missouri Libraries