Many students start PhDs at Curtin without even the most basic of computing and data skills. We collaborate with Software Carpentry and Data Carpentry to both teach basic lab skills and provide high-quality, domain-specific training covering the full lifecycle of data-driven research.
The course is aimed at postgraduate students and researchers who want to learn more about automation and reproducibility of their research. You don’t need to have any previous knowledge of the tools that will be presented at the workshop.
- Introduction to the Unix Shell
- Introduction to version control (using Git)
- Data analysis and visualisation in Python
- Data analysis and visualisation in R