Data Carpentry workshops are for any researcher who has data they want to analyse, and no prior computational experience is required. Hands-on workshops teach basic concepts, skills and tools for working more effectively with data.
These workshops are designed for people who have no prior programming experience (or experience with R) and are intended as a novice course. If you already have Python or R skills, then a Software Carpentry workshop might be more appropriate.
We will cover data organisation in spreadsheets, data cleaning, SQL, the command line, and R for data analysis and visualisation using examples from different domain areas.
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 analyse data and be able to apply the tools and approaches directly to their ongoing research.
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.
Typical workshops are two days long and contain the following elements:
- Data organisation in spreadsheets
- Data cleaning with OpenRefine
- SQL for data management
- Introduction to R
- Data analysis and visualisation in R
- Creating interactive documents with knitR and RPubs