Data Carpentry workshops will focus on introductory computational skills needed for data management and analysis in all domains of research. It is ideal training for researchers wishing to learn how to use open source tools to make their research open and reproducible. you do not need to have any previous knowledge of the tools that will be presented at the workshop. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
This is a 2-day workshop, you need to available on both days in order to get a place.
Aims and objectives
Data Carpentry workshops will focus on introductory computational skills needed for data management and analysis in all domains of research. It is ideal training for researchers wishing to learn how to use open source tools to make their research open and reproducible. you do not need to have any previous knowledge of the tools that will be presented at the workshop. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
This two-day workshop will cover:
- Data Organization in Spreadsheets
- Data Cleaning with OpenRefine
- Data Analysis and Visualization in R
- Data Management with SQL
This workshop uses a tabular ecology dataset from the Portal Project Teaching Database and teaches data cleaning, management, analysis, and visualization. would use.
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 are also required to abide by the ARCHER2 Code of Conduct.
Timetable:
To follow